Abstract: Provided are methods for post drop-off passenger assistance, which can include obtaining location data indicative of an environment where an autonomous vehicle is operating, determining a completion parameter indicative of a completion of a ride of the autonomous vehicle, determining, an assistance parameter indicative of an assistance of the autonomous vehicle to a passenger of the autonomous vehicle to be provided after the completion of the ride, and controlling an operation of the autonomous vehicle for assisting the passenger. Some methods described also include obtaining sensor data and controlling operation of the autonomous vehicle based on the sensor data. Systems and computer program products are also provided.

Abstract: Systems and methods for determining passing and no-passing zones on a roadway. The systems utilize sensors such as an inertial measurement unit, a distance measuring indicator, and a GNSS unit to track the position and orientation of a vehicle as it travels along a route. The systems also utilize a 360° camera and a lidar sensor to generate 360° footage and a lidar map, respectively, of the route. The methods utilize the data and images generated by the system to make line-of-sight determinations for various locations along the route. These determinations are then utilized to determine where passing and no-passing zones should be on a roadway.

Abstract: A control device includes an imaging unit configured to acquire imaging data of surroundings of a moving body, a reception unit configured to receive selection of a predetermined parking position from a user of the moving body, and a control unit configured to execute automatic parking control for parking the moving body at the predetermined parking position based on the imaging data and the predetermined parking position, and to register the predetermined parking position as a designated parking position. When the moving body is stopped after the automatic parking control is started and before the predetermined parking position is reached, the control unit registers a stop position where the moving body is stopped as the designated parking position.

Abstract: A map update data processing apparatus and method are provided. The method includes: obtaining first information from at least one vehicle terminal in a time window; determining, based on the first information and second information in a map, first change information of the second information and precision information and/or confidence information of the first change information, wherein the first change information indicates a difference between the first information and the second information; and finally, sending the first change information of the second information and the precision information and/or the confidence information to a first vehicle terminal.

Abstract: Systems, methods, and apparatus are described herein for determining a location from anonymous data. For example, a computing device may receive anonymous data associated with a browser session initialized by a user via a browser on a user computing device. The computing device may determine that the user has not been assigned a unique identifier. The computing device may determine whether the user opted-in to location tracking. If the user opted-out of location tracking, the computing device may determine a latitude coordinate and a longitude coordinate of the user computing device during the browser session. The computing device may identify a physical address for the user based on the latitude coordinate and the longitude coordinate, for example, using a map application programming interface (API). The computing device may assign the unique identifier to the user. The computing device may associate the unique identifier to the physical address.

Abstract: Examples disclosed herein relate to an autonomous driving system in a vehicle. The autonomous driving system includes a radar system configured to detect a target in a path and a surrounding environment of the vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a super-resolution network configured to receive the radar data with the first resolution and produce radar data with a second resolution different from the first resolution using first neural networks. The system also includes a target identification module configured to receive the radar data with the second resolution and to identify the detected target from the radar data with the second resolution using second neural networks. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the vehicle.

Abstract: The disclosure provides a system, a method, and a computer program product for verification of traffic incident. The system may be configured to receive a traffic incident trigger. Based on the traffic incident trigger, the system may select one or more vehicles for verification of the traffic incident detected at a location. The system may determine a route of travel for each vehicle of the selected one or more vehicles based on the location of the detected traffic incident. The system may reroute the selected one or more vehicles on the respective route of travel determined for each vehicle. The selected one or more vehicles are rerouted to record data of the traffic incident. The system may further verify the detected traffic incident based on the data of the traffic incident recorded by the rerouted one or more vehicles.

Abstract: Provided herein is technology relating to aspects of a Distributed Driving System (DDS) for managing Connected and Automated Vehicles (CAV) and particularly, but not exclusively, to systems, designs, and methods for a Device Allocation System (DAS) configured to allocate and distribute resources to devices of a Distributed Driving Systems (DDS).

Abstract: Techniques for providing remote guidance to a vehicle operating in an environment, by an operator located in the environment, are described herein. The operator can include a safety observer configured to observe one or more vehicles operating in the environment and may identify a scenario that requires a modification to a vehicle operation (e.g., stop forward movement, change direction of travel, modify a maximum speed, etc.). The operator may access a graphical user interface (GUI) via an operator computing device, and may input a constraint to modify the vehicle operation. The vehicle computing system may receive a control signal including the constraint, and may modify a vehicle trajectory based on the constraint. The vehicle computing system may later determine that a condition associated with the constraint is satisfied, and may continue vehicular operation in absence of the constraint.

Abstract: Provided herein is a technology for an Autonomous Vehicle Cloud System (AVCS). This AVCS provides sensing, data fusion, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level based on data from one or more of other vehicles, roadside unit (RSU), cloud-based platform, and traffic control center/traffic control unit (TCC/TCU). Specifically, the AVs can be effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for fulfilling driving tasks, including car following, lane changing, route guidance, and other related information. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: System and methods for detecting and obtaining lane level insight in unplanned incidents. Probe-based vehicles and lane-level insight using a lane-level map-matcher are used to acquire information. This information is aggregated and used to differentiate lane activity in terms of traffic and safe navigation. With the identification of probes per-lane and probe speeds per-lane, sudden reductions in probe speeds may be obtained at a lane-based level. This is used to verify or detect lane-level incident or hazard warnings and consequently alert a driver to safer navigation paths ahead of time, for example alerting the driver to maneuver to a different lane or to take an alternative route.

Abstract: A method and system are disclosed for collecting and maintaining road event information, where point-based road event location data from transportation authorities, construction companies, vehicle sensors, or combinations thereof, is susceptible to location sensor errors, digital map errors, and/or map mismatching errors. Errors less than a selected threshold are filtered by categorizing or grouping reports of point-based locations into segments along links in a representation of a road, providing improved accuracy of reporting of road events.

Abstract: A system for assessing progress of a data recording campaign performed to collect sensor data recorded by a sensor data recorder mounted on a vehicle, the system including a metadata generating apparatus arranged to process data acquired by a sensor module to generate metadata for the sensor data, the metadata comprising classifications of an attribute of a driving environment the vehicle was in during the acquisition of the sensor data into respective classes of a predefined set of classes of the attribute, and transmit the metadata to a remote metadata processing apparatus, which is arranged to determine whether the metadata comprises at least a predetermined number of classifications in a predefined class of the set of predefined classes and, based on the determination, generate an indicator for use in the data recording campaign.

Abstract: An electronic control system is configured to control a vehicle operating in a convoy by determining a vehicle motion reference parameter (VMRP) in response to a convoying control input (CCI), determining a braking capability of the vehicle including at least a regenerative braking capability, determining a minimum following distance between the vehicle and a forward vehicle of the convoy based at least in part upon the braking capability, and arbitrating among a plurality of control options including performing a first modification of the VMRP determined to provide operation of the vehicle satisfying the minimum following distance and controlling motion of the vehicle using the first modification of the VMRP, performing a second modification of the VMRP determined to provide improved operating efficiency of the vehicle controlling motion of the vehicle using the second modification of the VMRP, and performing no modification of the VMRP and controlling motion of the vehicle using the VMRP without modificatio

Abstract: An information processing device includes: an acquisition unit that acquires travel information related to travel of a vehicle and information of regulation display that has been converted into information from a captured image of the regulation display, the image being an image captured by a camera mounted on the vehicle; a preprocessing unit that sets, when a reliability of the information of the regulation display that has been converted into information is equal to or higher than a threshold value, the information to a regulation value, and updates the regulation value at a certain time with any one of the regulation values in a certain section including the time; and a diagnosis unit that diagnoses a violation when the travel of the vehicle based on the travel information satisfies a violation condition based on the updated regulation value.

Abstract: A method, system and medium for assisted driving of a vehicle are disclosed. The method comprises predicting a target intersection based on map information, a positioning location of the vehicle, and a motion status of the vehicle, where the target intersection is an intersection that the vehicle is to first pass in the future; determining a distance between the vehicle and the target intersection based on the map information and the positioning location of the vehicle; collect a turn light status of the vehicle; and when the distance between the vehicle and the target intersection is less than a first threshold, generating prompt information based on the turn light status of the vehicle and a first turning rule of a first lane in which the vehicle is located at the target intersection, where the prompt information prompts that the turn light status does not conform to the first turning rule.

Abstract: A system for aggregating alarms for a network includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving information for configuring alarm data. The processor is configured to execute the instructions for aggregating alarm data based on the information for configuring alarm data. The processor is configured to execute the instructions for generating a visual representation of the aggregated alarm data. The processor is configured to execute the instructions for instructing a display to display the visual representation on a graphical user interface (GUI). The processor is configured to execute the instructions for receiving filter criteria through the GUI. The processor is configured to execute the instructions for updating the display on the GUI based on the filter criteria.

Abstract: A boundary specifying a bounded geographic area for which travel information is to be reported is generated. Flow section information associated with flow sections located within the boundary is obtained. The flow sections represent portions of one or more roadways assigned relevant functional road classes (FRCs). The flow section information includes information about traffic flow associated with the flow sections. FRC current traffic messages, which include non-predictive traffic information associated with roadway portions that are in the bounded geographic area and are assigned relevant FRCs, are combined with the flow section information to generate a first data group. The first data group is streamed to a first traffic message service.

Abstract: Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.

Abstract: A vehicle may transmit, to a network entity, a lane use request message associated with a lane for the vehicle. The network entity may identify lane information associated with a lane for a vehicle. The network entity may identify vehicle information associated with the vehicle. The network entity may transmit, to the vehicle, and the vehicle may receive, from the network entity, a lane use grant message based on at least one of the identified lane information or the identified vehicle information. The lane use grant message may be indicative of a permission for the vehicle to use the lane. The vehicle may not be permitted to use the lane without the permission. The lane may correspond to a flexible direction lane, an emergency lane, a road shoulder, an HOV lane, or a passing lane.

Abstract: Disclosed is a traffic flow forecasting method based on a multi-mode dynamic residual graph convolution network, including following steps: constructing a relationship matrix and an adaptive matrix to learn the site dependence relationship for historical traffic data of traffic stations; using multi-mode dynamic graph convolution to extract traffic characteristics corresponding to different traffic modes; embedding the graph convolution into the gated cyclic neural network to realize the combination of space dependence and time dependence of traffic flow; connecting the network by using the dynamic residual, and combining the input traffic data with the decoding data to obtain the final forecasting value. The application utilizes two different methods to construct adjacency matrix, effectively captures traffic flow characteristics corresponding to different traffic modes, and dynamically fuses traffic flow characteristics of two different modes.

Abstract: A controller is provided to control movement of transporting devices. Embodiments limit the loads imparted on a grid of pathways structure of transporting devices to prevent non-safety-critical damage from excess loads and/or fatigue. A controller is arranged to control movement of transporting devices arranged to transport containers stored in a facility. The facility includes pathways arranged in cells to form a grid-like structure which extends in first and second directions. A route determination unit determines a route from one location to another, and a clearance unit to provide clearance for each transporting device to traverse a portion of the determined route. A constraint area determination unit determines constraint areas based on the grid-like structure and a calculation unit calculates a constraint limit in each constraint area.

Abstract: A control device associated with an autonomous vehicle receives sensor data and detects that the autonomous vehicle is approaching a railroad crossing based on the sensor data. The control device determines that no train is approaching the railroad crossing from the sensor data. The control device detects an indication of a stopped vehicle in front of the autonomous vehicle and behind the railroad crossing. The control device determines whether the stopped vehicle is associated with a mandatory stop rule. The mandatory stop rule indicates vehicles carrying hazardous materials have to stop behind the railroad crossing even when no train is approaching or traveling through the railroad crossing. If it is determined that the stopped vehicle is associated with the mandatory stop rule, the control device waits behind the stopped vehicle until the stopped vehicle crosses the railroad crossing and instructs the autonomous vehicle to cross the railroad.

Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.

Abstract: An electronic device includes memory circuitry, a wireless interface, and processor circuitry. The processor circuitry is configured to obtain positioning data and movement data from a wireless device. The processor circuitry is configured to determine, based on the positioning data, one or more stops including a first stop of a transportation journey of the wireless device. The processor circuitry is configured to determine, based on movement data associated with the first stop, a transition parameter associated with the first stop. The processor circuitry is configured to determine whether the transition parameter satisfies a first criterion indicative of a change of transportation mode at the first stop. The processor circuitry is configured to output, based on the transition parameter, a transportation parameter.

Abstract: A controller may determine a battery consumption configuration of the machine based on information regarding the machine, and obtain fuel burn data indicating an amount of fuel burned by the machine. The controller may determine a simulated battery consumption of the machine based on the battery consumption configuration and the fuel burn data. The controller may determine a simulated battery charge level based on the simulated battery consumption. The controller may determine whether the simulated battery charge level satisfies a charge level threshold. The controller may derate an engine of the machine based on determining that the simulated battery charge level does not satisfy the charge level threshold.

Abstract: Examples include receiving a plurality of values of a parameter that is measured by a sensor, determining a sensor rate of change based on the plurality of values, determining a sensor error rate based on the plurality of values, receiving a reading of the parameter, and determining a reliability of the reading based on the sensor rate of change and the sensor error rate.

Abstract: A data processing method, a data processing apparatus, an electronic device, and a computer-readable storage medium are provided. The data processing method includes: acquiring at least one piece of sample data in a statistical group, each piece of sample data including a statistical indicator and an indicator value of the statistical indicator; creating a first statistical array corresponding to the statistical indicator, the first statistical array including a plurality of first elements, and the plurality of first elements being used to perform statistics on different indicator values, respectively; and traversing indicator values of the at least one piece of sample data, and performing statistics on the at least one piece of sample data by using the first statistical array, so as to obtain a data statistical result, the plurality of first elements of the first statistical array being statistical sub-results of respective indicator values, respectively.

Abstract: Vehicle guidance with systemic optimization may include traversing, by a current vehicle, a vehicle transportation network, by obtaining, by the current vehicle, systemic-utility vehicle guidance data for a current portion of the vehicle transportation network and traversing, by the current vehicle, the current portion of the vehicle transportation network in accordance with the systemic-utility vehicle guidance data. Obtaining the systemic-utility vehicle guidance data may include obtaining vehicle operational data for a region of a vehicle transportation network, wherein the vehicle operational data includes current operational data for a plurality of vehicles operating in the region, operating a systemic-utility vehicle guidance model for the region, obtaining systemic-utility vehicle guidance data for the region from the systemic-utility vehicle guidance model in response to the vehicle operational data, and outputting the systemic-utility vehicle guidance data to the current vehicle.

Abstract: Embodiments of this application generally disclose a communication method and apparatus. The method is applied to an intelligent device, and the intelligent device includes a plurality of sensors. The method includes determining N target sensors from a plurality of sensors, where N is an integer greater than 1. The method also includes, correcting to respective second moments of the N target sensors to a first moment of a first clock. According to embodiments of this application, time of different sensors in the intelligent device can be synchronized, to improve an accuracy for a fusion of data collected by the different sensors.

Abstract: Provided is an information processing method of determining the influence of the event on the traffic condition, and this method includes a first link setting step of setting a link, related to an occurrence position of the event, as a target link, a determining step of determining a degree of influence of the event on the traffic condition of the target link, and a second link setting step of setting a link adjacent to the target link as a new target link based on a determination result of the determining step, in which the processing in the determining step is performed on the target link specified in the second link setting step.

Abstract: A vehicle control system includes an automatic driving control device that generates a target trajectory used for automatic driving, and a vehicle travel control device that executes vehicle travel control such that a vehicle follows the target trajectory. The vehicle travel control device determines whether an operating condition of travel support control for reducing a risk when the vehicle travels is satisfied based on driving environment information, acquired from a plurality of sensor devices, and executes the travel support control in a case where the operating condition is satisfied. The vehicle travel control device generates risk information based on the driving environment information, and transmits the risk information to the automatic driving control device before the operating condition is satisfied. The automatic driving control device generates or corrects the target trajectory based on the received risk information.

Abstract: A departure sequencing system models airport operations and provides suggested gate pushback times for aircraft. In various embodiments, a departure sequencing system includes an airport state analyzer, a taxi-out predictor, and a pushback optimizer. The departure sequencing system may utilize stochastic models, and resolve aircraft conflicts using a business rules engine. Via use of the departure sequencing system, taxi times may be reduced, taxi fuel burn may be reduced, and airport throughput may be increased.

Abstract: A vehicle broadcasts a lane change intent message indicating parameters of a maneuver to be performed by the vehicle operating as a main traffic participant vehicle, the maneuver requiring use of a road resource. Response messages are received from recipient vehicles indicating approval or disapproval of performance of the maneuver. Responsive to one of the recipient vehicles returning a response message indicating conflict with use of the road resource required for performance of the maneuver, a conflict resolution procedure is performed between the main traffic participant vehicle and the conflicted recipient vehicle, the conflict resolution procedure using a pre-agreed identical conflict resolution algorithm executed on each of the main traffic participant vehicle and the conflicted recipient vehicle to each make a same distributed decision whether to proceed with the maneuver.

Abstract: A driving controller for a vehicle includes a detector that obtains driving information of a preceding vehicle and information about the road and a controller that determines a risk level of the preceding vehicle based on the driving information of the preceding vehicle and determines whether to perform avoidance control depending on the risk level. When it is determined that a breakdown or risk occurs in the preceding vehicle, the driving controller provides corresponding logic capable of avoiding the preceding vehicle.

Abstract: A parking lot management system according to the present disclosure includes a management apparatus, an image capturing apparatus, a cart, and a display apparatus. The management apparatus acquires, and stores as parking information, a license plate number and a spot number of a parking spot from the image capturing apparatus. Then, the management apparatus acquires, from a cart terminal of the cart, information that enables specification of the parking information of a vehicle of a customer using the cart and an identification number of the cart terminal, and stores the identification number of the cart terminal in association with the parking information. Then, the management apparatus detects return of the cart to a predetermined location, calculates a predicted time until the parking spot is freed up, and updates display on the display apparatus based on the predicted time.

Abstract: There is provided a method for generating traffic data indicative of a traffic volume and/or traffic density within a navigable network in an area covered by an electronic map, the electronic map comprising a plurality of segments representing navigable elements of the navigable network. The method generally comprises obtaining data indicative of a count of devices associated with vehicles traversing the navigable element represented by the segment in respect of a given time, wherein the count of devices is based on positional data and associated timing data relating to the movement of a plurality of devices associated with vehicles along the navigable element represented by the segment; and using the determined count data and an scaling coefficient to obtain data indicative of an estimated traffic volume for the segment in respect of the given time, wherein the scaling coefficient is time dependent.

Abstract: According to one embodiment, a dynamic parameter server is provided in an ADV to update parameters of an autonomous driving system (ADS) of the ADV in real time without requiring the reboot of the ADS. The dynamic parameter server can obtain new parameters from a configuration file created by users based on their experiences and expectations. Each new parameter is mapped to certain physical conditions. When the ADV encounters the physical conditions mapped to a particular parameter, the dynamic parameter server can broadcast the new parameters to the ADS, which can use the new parameters to control the ADV. The physical conditions can be used as selection factors for the dynamic parameter to determine which ADS parameter to update.

Abstract: A method for the infrastructure-supported assistance of a motor vehicle. The method includes: receiving surroundings signals which are representative of surroundings of the motor vehicle; analyzing the surroundings in order to determine a traffic situation, in which the motor vehicle is located; determining a suggestion for a traffic-directing traffic control measure for the infrastructure-supported assistance of the motor vehicle for an operator based on the determined traffic situation; outputting suggestion signals which are representative of the determined suggestion. A device, a computer program and a machine-readable storage medium are also described.

Abstract: The subject disclosure relates to techniques for enabling autonomous vehicles to reason about similarities of features between drivable areas. A process of the disclosed technology can include receiving first sensor data corresponding with a first roadway segment, receiving second sensor data corresponding with a second roadway segment, encoding the first sensor data into a first vector, wherein the first vector represents a first roadway characteristic associated with the first roadway segment, encoding the second sensor data into a second vector, wherein the second vector represents a second roadway characteristic associated with the second roadway segment, and determining a similarity between the first roadway segment and the second roadway segment based on the first vector and the second vector.

Abstract: A video analytics based image verification system for obtaining initial vehicle profiles is presented. The system may include an external processing server that receives a location of a vehicle and proximate traffic information to determine whether it is safe for a user to obtain an initial vehicle profile. The external processing server may further determine first and second profile features from video data indicative of the vehicle. The external processing server may compare the second profile feature to an image verification indicator to generate an image verification score. A provider server may receive the first profile feature and the image verification score from the external processing server, and update a risk evaluation to include the initial vehicle profile if the image verification score is above an image verification threshold.

Abstract: In a self-vehicle with V2X communication capability and with an enhanced ADAS, a method for warning nearby road-users at risk using exterior vehicle lights, the method comprising by the enhanced ADAS, analyzing the behavior of a non-V2X connected road-user ahead and/or a non-V2X connected road-user behind the self-vehicle using inputs from at least one sensor of the self-vehicle and from V2X communications received in the self-vehicle, determining from the analysis that the non-V2X connected road-user ahead and/or the non-V2X connected road-user behind poses a risk to another road-user, and warning the non-V2X connected road-user ahead and/or the non-V2X connected road-user behind that it poses the risk using a special lighting pattern displayed on an exterior part of the self-vehicle.

Abstract: Systems and methods are disclosed for implementing a vehicle shadow service that includes a vehicle and/or vehicle shadow update mechanism. A vehicle shadow management sub-system of the vehicle shadow service includes or interfaces with an interface configured to receive vehicle state change requests. Received requests are stored in an update queue for a vehicle shadow and a validation processor determines whether the received state change requests are valid before sending a given state change request to a vehicle corresponding to the vehicle shadow. In some embodiments, state change requests may be invalidated due to being rendered moot by subsequently received requests, changes in state of the vehicle, expiration, etc. The corresponding vehicle shadow is then updated when a data stream from the vehicle indicates that the requested state change has in fact been implemented at the vehicle.

Abstract: A load control system for controlling a plurality of lighting loads located in a space may be configured to track the location of one or more tracked devices. The load control system may comprise a system controller, lighting control devices, e.g., for controlling a plurality of lighting loads, and tracked devices. The tracked devices may each transmit beacon messages. The lighting control devices may receive the beacon message. The lighting control devices may measure a communication quality metric of each of the beacon messages, and process the measured communication quality metrics received over a period of time to determine a processed communication quality metric for the tracked device. The lighting control devices may transmit tracking data to the system controller. The system controller may determine a location (e.g., an area location and/or a fixture location) of the tracked device.

Abstract: A parking assist apparatus including a controller configured to perform operations including image feature extraction, parking feature registration, identification of a parking position from the registered parking features, performance of parking assistance based on the identified parking position, and erasure of registered parking features based on non-detection of the parking features during the performance of parking assistance.

Abstract: This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.

Abstract: Methods and systems for assessing driving autonomous system (DAS) performance based on the telematics data, vehicle type, and/or driving environment. The methods and/or systems may receive driving data indicative of vehicle performance based on DAS operation of the vehicle during a time period; select a portion of the driving data related to at least one performance metric of the DAS operated vehicle during the time period; receive historical DAS performance data that includes at least one performance metric of a vehicle-type of DAS operated vehicle that includes the vehicle; analyze the selected portion of the driving data during the time period with the historical DAS performance data; calculate a DAS score for the vehicle based on the analysis of the selected portion of the driving data during the time period with the historical DAS performance data of the vehicle type; and adjust DAS operation of the vehicle based on the calculated DAS score for the vehicle.

Abstract: A transportation vehicle, a method, a computer program and an apparatus for combining object information relating to one or more objects in an environment of a transportation vehicle from different data sources. The method includes capturing a first item of environmental information relating to the environment by at least one sensor arranged on the transportation vehicle, receiving at least one second item of environmental information relating to the environment from a transmitter separated from the transportation vehicle, determining at least one first item of object information from the first environmental information, determining at least one second item of object information from the second environmental information, and assigning the first meta information and the second meta information to one another based on a comparison of a tolerance range with a discrepancy between the first object information and the second object information.

Abstract: Devices at a scene of a vehicular accident may be used to direct vehicle traffic in response to the vehicular accident. For example, a device associated with a structure at a location of the vehicular accident may analyze information about the accident scene and, based on the information, direct traffic near the accident scene.

Abstract: A route planning apparatus configured to create a travel plan that includes a planned travel route for a leading vehicle to electronically tow a following vehicle using inter-vehicle communication, the route planning apparatus comprising: a receiving unit configured to receive a request to stop at a waypoint during traveling by the electronic towing, the stop-over request being input on a second information processing apparatus that is used by an occupant of the following vehicle: a searching unit configured to search, for a waypoint according to the request, the planned travel route and a surrounding region of the planned travel route; and a transmitting unit configured to transmit information regarding a found waypoint and a route to the waypoint to a first information processing apparatus that is used by an occupant of the leading vehicle.