Abstract: There is provided a system for managing sharing of a straddle type vehicle, including a position locating unit provided on the straddle type vehicle and configured to locate a position of the straddle type vehicle, a position acquisition unit configured to acquire a position of a peripheral vehicle from the peripheral vehicle present around the straddle type vehicle, and a determination unit configured to determine a parking position at which the straddle type vehicle is parked based on the position of the straddle type vehicle located by the position locating unit and the position of the peripheral vehicle acquired by the position acquisition unit when the straddle type vehicle is parked.

Abstract: The present embodiments relate to a large vehicle approach warning device and a method for controlling the same for enabling the driver to cope with the instability of the vehicle due to a cross wind generated by a large vehicle approaching a host vehicle, by outputting an warning message when the driver is not griping the steering wheel in a situation where the vehicle is approaching the host vehicle at a high speed in the rear side.

Abstract: Adaptive Sampling. Data comprising pairings of data value with lists of data keys are received. The range of possible values of the data keys is partitioned into unbalanced buckets, with at least two of the unbalanced buckets representing different fractions of the range. Each unbalanced bucket is assigned to a respective processing unit selected from a plurality of processing units. The pairings are processed by the processing units, with each processing unit generating an intermediate result. The intermediate results are combined to generate a comprehensive result. A sampling error is determined by scaling an unbalanced bucket's intermediate result according to its corresponding fraction and comparing the scaled intermediate result to the comprehensive result. An unbalanced bucket having a sampling error less than a sampling error threshold is selected. The selected unbalanced bucket's corresponding fraction is selected as a sampling rate for a second data processing job.

Abstract: A vehicle control system includes a vehicle selector configured to select, from among other vehicles present near an own vehicle, another vehicle that the own vehicle is to follow when traveling in front of a gate as a following target vehicle, and a gate passage controller configured to cause the own vehicle to travel following the following target vehicle selected by the vehicle selector when passing through the gate.

Abstract: A transponder and system are described for sharing vehicle lane data in a vehicle-to-vehicle safety system. It generates and broadcasts internally generated location points; and receives, processes and stores lane data received from other equipped vehicles. Physical lanes are represented by a sequence of logical lanes. Both the internal and external location points are aggregated into logical lanes. These logical lanes in turn are shared between vehicles via requests and replies. Each vehicle, within a temporary range, is considered a distinct vehicle. For each logical lane separate counts are maintained for the number of distinct vehicles that provided internal data, provided internal data shared once, and total data shared more than once. Internal data continues to aggregate until the logical lane changes. Total shared data is capped at a maximum of internal counted distinct vehicles and received distinct vehicle counts, to avoid counting the same (shared) data over and over.

Abstract: An approach is provided for separating past speed data into speed profiles corresponding to multi-modal segments of a travel network. A navigation processing platform determines one or more links of at least one travel network that includes at least one split into two or more links. The navigation processing platform processes and/or facilitates a processing of probe data associated with the one or more links to determine that the one or more links exhibit a multi-modality with respect to travel speed. The navigation processing platform then determines a plurality of speed profiles for one or more segments of the one or more links based, at least in part, on the multi-modality. The navigation processing platform further causes, at least in part, a generation of at least one travel speed map that associates the plurality of speed profiles with the one or more segments of the one or more links.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a data center asset topology for a data center; creating a data center topology map; monitoring asset traffic within the data center, the monitoring providing data center asset traffic data; presenting the data center topology map within data center topology user interface; presenting an efficiency improvement suggestion associated with the asset traffic within the data center; and, changing the data center asset topology based upon the efficiency improvement suggestion.

Abstract: A method of determining optimal location for reaching destined locations by traversing traffic in a least time of determining is disclosed. Traffic information and incident information may be received using an input device. The traffic information and the incident information may be used to determine traffic and incidents associated with an area, and successively to determine a correlation score. The correlation score is calculated by analyzing the traffic information and the incident information. Further, an optimal location is determined based on the correlation score, for staging a first responder. Thus, the first responders could reach any of the destined locations in least time, when an incident occurs.

Abstract: A system includes a housing with one or more edge processors to handle processing on behalf of a mobile target or to provide local data to the mobile target or to provide artificial intelligence for the mobile target; one or more antennas coupled to the housing; and a processor to control a directionality of the antennas in communication with the mobile target using 5G or 6G protocols.

Abstract: An autonomous driving system could create or exacerbate a hazardous driving situation due to incorrect machine learning, algorithm design, sensor limitations, environmental conditions or other factors. This technology presents solutions that use machine learning to detect when the autonomous driving system is in this state e.g., erratic or reckless driving and other behavior, in order to take remedial action to prevent a hazard such as a collision.

Abstract: Systems and methods related to roadmaps for mobile robotic devices are provided. A computing device can determine a roadmap that includes a first intersection associated with first and second edges. The computing device can determine an edge interaction region (EIR) surrounding the first intersection that includes portions of the first and second edges, where a traversal region on the first edge portion can overlap a traversal region on the second edge portion. The computing device can determine first and second sub-edges of the first edge; the first sub-edge within the EIR and the second sub-edge outside the EIR. The computing device can receive a request to determine a route, determine the route specifying travel along the first sub-edge with a first rule set and along the second sub-edge with a second rule set, and provide the route.

Abstract: Systems, methods, algorithms, and software for DSRC-actuated traffic control are presented. The invention leverages the presence of DSRC radios in vehicles and gives priority (by displaying green light) to approaches (roads) that include DSRC-equipped vehicles.

Abstract: A lane keep control apparatus includes a first calculator. The first calculator includes a first determiner, a second determiner, a third determiner, and a second calculator. The first determiner is configured to determine whether a preceding vehicle travels on a traveling lane of an own vehicle. The second determiner is configured to determine whether a blinker of the preceding vehicle blinks. The third determiner is configured to determine whether widening of one or both of lane lines is present. The second calculator is configured to set, on a condition that the blinker of the preceding vehicle is determined as blinking and the widening is determined as being present, a target traveling course on the basis of one of the lane lines positioned on opposite side of the other of the lane lines that is positioned on a side on which the blinker of the preceding vehicle is determined as blinking.

Abstract: A computer-implemented method for acoustics-based light source control of a lighting system is provided. The method may include detecting sounds emitted by a sound source from positions located along the path. A velocity of the sound source is determined with respect to a point on the path based on the detected sound emissions. A spatio-temporal trajectory of the sound source is based on the determined velocity and a topography of the path at the positions of the sound source. One or more light sources positioned adjacent to the determined trajectory are identified. Responsive to determining that a distance between the sound source and the identified light sources does not exceed a predetermined threshold, the identified light sources are energized to illuminate the length of the path ahead of the sound source.

Abstract: The disclosure relates to a method for requesting and granting priority between a host vehicle and other vehicles, and to a system which implements the method. The host vehicle, through the use of on-board vehicle sensors, detects and identifies an impeding vehicle which interferes with the host vehicle's path. The host vehicle transmits a priority request to the impeding vehicle. The priority request includes a remuneration offer. The impeding vehicle evaluates the priority request, including the sufficiency of the host vehicle's remuneration offer, and grants or denies the host vehicle's priority request. If granted, the impeding vehicle modifies its path to be less impeding to the host vehicle, for example by assuming a cooperative path that lets the host vehicle pass the impeding vehicle.

Abstract: The present disclosure provides a method and a device for controlling a vehicle. The vehicle is in a vehicle queue, the vehicle queue includes n vehicles {vehicle 0, vehicle 1, . . . , vehicle n?1} arranged in order along a traveling direction, the method is performed by a computing device of the vehicle i, i is from 1 to n?1. A vehicle-following subsystem model is established based on the relative speed and the relative vehicle distance error between the vehicle i and a vehicle i?1, and the acceleration of the vehicle i, a state trajectory of the vehicle-following subsystem model on a ?v-?R plane is determined, a plurality of division graphs of the vehicle i?1 in a plurality of travelling phases are combined to obtain a switching control graph for the vehicle i, and the travelling phase of the vehicle i is adjusted.

Abstract: A system for tracking the location of people as the people move between zones, the system including tracking devices and a central tracking system. The tracking devices each monitor a zone and include a video camera, infrared sensors for detecting people in the zone, an antenna for detecting wireless signals from devices carried by people in the zone that provide unique device identifiers, a light and a processor that communicates with the central tracking system. The processor turns the light on when the infrared sensor detects a person in the zone and analyzes video data from the camera to determine the location of the person, which is sent to the central processor which creates a personal identifier for the person based on the unique identifier of a device carried by the person and tracks the person as the person moves between zones.

Abstract: A work assignment request message, generated by a user device based on input provided by a tow service provider via the user device, is received at an enterprise server device. An initial pool of tow request stocks for potential fulfillment by the tow service provider is selected from a set of pending tow request stocks. A refined pool of tow request stocks is generated to exclude, from the initial pool, tow request stocks for which the tow service provider does not meet at least one fulfillment requirement. An optimized pool of tow request stocks is generated to include one or more tow request stocks selected, according to one or more optimization criteria, from the refined pool of tow request stocks. Information assigning the tow request stocks in the optimized pool of tow request stocks is transmitted from the enterprise server device to the user device.

Abstract: A method for improved traffic congestion estimation is provided using signal phase and timing data from traffic signals at intersections and probe data from vehicles traversing said intersections. An example method may include: identifying each of a plurality of paths through an intersection; identifying signal phase and timing data for each traffic light associated with each path through the intersection; receiving probe data for vehicles approaching or traversing the intersection; estimating a number of vehicles failing to traverse the intersection along a path through the intersection; estimating a congestion status of the path through the intersection based on the number of vehicles failing to traverse the intersection; and causing the congestion status to be provided to permit updating of a map to reflect the congestion status.

Abstract: A first set of traces is received by a device, each trace including a set of location data. Each set of location data includes an origin point, a plurality of intermediate points, and a destination point in an ordered sequence. A bounding box surrounding a trace of the first set of traces is drawn, the bounding box corresponding to endpoints of the trace. A function determines a threshold and classifies a trace as stationary or non-stationary. A trace is classified as stationary or non-stationary by comparing a ratio represented by the trace length divided by the bounding box diagonal length to the determined threshold. In response to classifying the trace as stationary, the trace is labeled as stationary. In response to classifying the trace as non-stationary, extremities are extracted from the trace for re-classifying.

Abstract: A vehicle-to-X communication apparatus includes a generating device which is designed to generate a vehicle-to-X message to be sent, a signing device which is designed to sign the vehicle-to-X message to be sent, a first verification device which is designed to verify the vehicle-to-X message to be sent, a transmitting device which is designed to send the vehicle-to-X message. The first verification device is configured according to a higher safety integrity level than the generating device, the signing device and/or the transmitting device. Furthermore, a corresponding method as well as the use of the apparatus in a vehicle or an infrastructure facility is disclosed.

Abstract: Disclosed is a training evaluation device for a vehicle having a first input interface for receiving a recording of a sign given by a road user, and a second input interface for receiving a driver control command corresponding to the sign, wherein the training evaluation device propagates an artificial neural network with the recording of the sign and the driver control command to obtain a vehicle control command in the propagation of the artificial neural network, and adjusts weighting factors such that the vehicle control command matches the driver control command, for the machine learning of a meaning of the sign. A method for training an artificial neural network, a working evaluation device for an automatically operated vehicle, a driver assistance system, and a method for recognizing a meaning of a sign and for indicating a vehicle reaction to a known meaning of this sign are also disclosed.

Abstract: A driving assistance control system of a vehicle includes a needed information acquisition unit configured to acquire needed information for calculating a target path, a target path deciding unit configured to decide the target path based on the needed information, a vehicle traveling controller configured to perform a path following control for controlling a traveling device of the vehicle such that the vehicle follows the target path, and a system limit identification unit configured to identify a likelihood of reaching a system limit at which the path following control becomes unsuccessful. The system limit identification unit includes a determination model that learns a relationship between a plurality of vehicle feature amounts and the likelihood of reaching the system limit by machine learning in advance, and outputs an identification result of the likelihood of reaching the system limit corresponding to the input vehicle feature amounts using the determination model.

Abstract: A vehicle movement predicting device includes an inter-vehicle communication part that obtains vehicle information from communicable vehicles around an own vehicle, a vehicle position measuring part that measures a position of a preceding vehicle of the own vehicle, a communicable vehicle selecting part that decides a past position closest to the position of the preceding vehicle on the basis of the vehicle information, calculates a closest distance between the past position and the position of the preceding vehicle and a direction difference between the preceding vehicle and the communicable vehicle, and thereby selects one from among the communicable vehicles each of which the closest distance and the direction difference are respectively predetermined values or less, as a front vehicle of the preceding vehicle, and a vehicle movement predicting part that predicts a future movement of the preceding vehicle on the basis of the position of the selected communicable vehicle.

Abstract: A system for representing a vehicle cabin layout on an original scale comprising a plurality of projectors, a planar projection surface and a control system. The layout is loaded as digital cabin layout data into the control system and the layout comprises a first cabin aisle section extending along a first aisle axis. The projectors comprise vertical projectors spaced along a first projector axis. The control system drives the vertical projectors and processes cabin layout data loaded into the control system to project at least one section of the cabin layout on the planar projection surface on the original scale. That section of the layout which is projected by the vertical projectors comprises the first aisle section, such that the first aisle axis runs with the first projector axis in a first aisle plane extending perpendicular to the planar projection surface.

Abstract: A host vehicle includes an internal combustion engine, a turbocharger in fluid communication with the internal combustion engine, a communication system configured to transmit and receive a traffic-related message, and a controller in communication with the turbocharger and the communication system. The controller is programmed to: receive the traffic-related message via the communication system; and command the internal combustion engine to increase a power output to spool up the turbocharger in response to receiving the traffic-related message. The controller is programmed to determine a number of relevant vehicles. The number of relevant vehicles is a number of vehicles that are in front of the host vehicle and behind a traffic light and affect a movement of the host vehicle toward the traffic light. The traffic-related message is a one of a vehicle message from another vehicle and/or a traffic-light message from the traffic light.

Abstract: A cellular network-based assisted driving method and a traffic control unit are provided, to accurately assess a risk and provide a valuable safety warning for a vehicle. In various embodiment, a first about-to-occur track of a first vehicle is determined based on traveling status information of the first vehicle. The first about-to-occur track is a traveling track of the first vehicle that is to occur within preset duration from a current moment. Warning information can be sent to the first vehicle when it is determined that a second about-to-occur track of a second vehicle intersects the first about-to-occur track. The second about-to-occur track is a traveling track of the second vehicle that is to occur within the preset duration from the current moment.

Abstract: A method and apparatus for providing safety related messages to one or more vehicles is based on slowdown data collected in association with one or more vehicles. Historical slowdown data for a set of road segments is identified. One or more corresponding road geometries are accessed for the set of road segments. A comparison is performed for the one or more road geometries and a predetermined set of templates. Based on the comparison, a matching template is identified. A score is calculated for the road segment based on the matching template and the historical slowdown data.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

Abstract: A vehicle monitoring system permits a user to designate some usage as personal, such that the location of the vehicle is not tracked (or not recorded or not reported). The user can designate the usage as personal in terms of time of day or day of the week or in terms of geographic areas. Optionally, in calculating a route, the system may take into account a safety index; i.e. which route is safer. The system may also take into account which route will consume less energy, particularly where the vehicle is an electric vehicle, which has different efficiencies in certain types of road conditions.

Abstract: Provided is a state determination device for an internal combustion engine. The state determination device includes a storage device, and an execution device. The storage device stores mapping data that is data defining a mapping that outputs a determination result of a state of the internal combustion engine, by using an internal combustion engine state variable as an input. The execution device executes an acquisition process of acquiring the internal combustion engine state variable each time a crankshaft rotates by a specified angle, and a determination process of determining the state of the internal combustion engine based on an output of the mapping using the internal combustion engine state variable as an input. The execution device omits a part of the determination process performed each time the crankshaft rotates by the specified angle when a rotation speed of the crankshaft becomes equal to or higher than a predetermined threshold.

Abstract: A vehicle crowd sensing system and method of selective sensing for the vehicle crowd sensing system. The method, in one implementation, involves receiving a plurality of detection reports from a first set of vehicles, each detection report including an event, a position qualifier of the event, and a severity qualifier of the event; developing an inherent error model for the event that includes a compilation of the position qualifiers of the event and the severity qualifiers of the event; and determining a resampling instruction for the event. The resampling instruction is based on an action model and the action model is at least partly a factor of the inherent error model.

Abstract: A technique is disclosed, according to which a mobile node, having a plurality of interfaces and performing communication according to flow information when an operator is performing communication based on the flow information as defined by a policy, can select an interface suitable for the flow and can perform communication. According to this technique, a mobile node (MN 10) having a plurality of interfaces has a list to indicate domain limited flows to be transmitted only within a specific network (a trusted network), and a list to indicate the trusted networks. When a certain interface performs handover, and in case there is a domain limited flow that uses the interface, it is decided whether the network of handover destination is a trusted network or not, and in case the network of the handover destination is not a trusted network, it is decided whether it is possible or not to transmit and receive the domain limited flow via another interface that is connected to the trusted network.

Abstract: A system and method for surveillance of a scene comprising the steps of: capturing a scene via at least two image streams; processing the first of the two image streams to detect an act, event or object; and, wherein when an act, event or object is detected, storing portions of the second image stream corresponding to the act, event or object independently of the first image stream.

Abstract: A method of calculating a most probable path (MPP) comprising: with a classification module, classifying each of a plurality of origin and destination (O/D) trajectories into one of a plurality of periods of time, the classification comprising: changing a data sampling time period of any of the plurality of trajectories within the determined classification periods; with the classification module, detecting any O/D data descriptive of an aperiodic O/D trajectory using context data descriptive of the aperiodic O/D trajectory; and with the classification module, calculating a route trajectory serving as a candidate of the MPP to determine a priority O/D trajectory that matches the context data.

Abstract: A recommended traveling speed provision program according to one aspect of the present disclosure causes a computer to function as: an acquisition unit configured to acquire, from probe vehicles, pieces of probe information each including information of a time within a predetermined time period and a position of the corresponding probe vehicle at the time; a representative traveling speed calculation unit configured to calculate a representative traveling speed that is a representative value of traveling speeds of the probe vehicles, based on the pieces of probe information acquired by the acquisition unit; a recommended traveling speed calculation unit configured to calculate a recommended traveling speed, based on the representative traveling speed calculated by the representative traveling speed calculation unit; and a provision unit configured to provide the recommended traveling speed calculated by the recommended traveling speed calculation unit to a target vehicle.

Abstract: A method includes generating, by a processor of a computing device, a first plurality of models (including a first number of models) based on a genetic algorithm and corresponding to a first epoch of the genetic algorithm. The method includes determining whether to modify an epoch size for the genetic algorithm during a second epoch of the genetic algorithm based on a convergence metric associated with at least one epoch that is prior to the second epoch. The second epoch is subsequent to the first epoch. The method further includes, based on determining to modify the epoch size, generating a second plurality of models (including a second number of models that is different than the first number) based on the genetic algorithm and corresponding to the second epoch. Each model of the first plurality of models and the second plurality of models includes data representative of neural networks.

Abstract: Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). A variable speed sign is identified. Probe data is collected at one or more vehicles in proximity to the variable speed sign. The speeds of the vehicles are included in or derived from the probe data. A statistical analysis is performed on the probe data. A speed limit value for the variable speed sign is determined based on the statistical analysis.

Abstract: An information system comprises a selector configured to select one or more mobile shop vehicles each of which functions as a meeting place for users who utilize a shopping district composed of mobile shop vehicles, from a group of the mobile shop vehicles allowed to gather in a predetermined area in order to construct the shopping district composed of the mobile shop vehicles to provide services of different classifications in a composite manner; and a manager configured to instruct the one or more mobile shop vehicles each of which functions as the meeting place to cause a change into an appearance with which it is possible for the users to distinguish, in a differentiated manner, that each of the one or more mobile shop vehicles is the meeting place in the shopping district composed of the mobile shop vehicles.

Abstract: This application discloses a computing system to implement event-driven region of interest management in an assisted or automated driving system of a vehicle. The computing system can identify a portion of an environmental model for a vehicle that corresponds to a region of interest for a driving functionality system. The computing system can detect at least one event associated with the region of interest in the environmental model, and provide data corresponding to the detected event to the driving functionality system. The driving functionality system can utilize the data corresponding to the detected event to control operation of the vehicle.

Abstract: A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.

Abstract: A driving assistance device includes: a vehicle group search unit that acquires a most frequent vehicle speed of the vehicle and to search for one or more vehicle group, the most frequent vehicle speed being a vehicle speed that is most frequent, the vehicle group traveling at one of the most frequent vehicle speed and a speed close to the most frequent vehicle speed; a distance information generation unit that generates the vehicle group searched for by the vehicle group search unit and distance information on a distance between the vehicle group and an information-receiving vehicle that has sent the most frequent vehicle speed; and a merging assistance unit that sends the distance information generated by the distance information generation unit to a user terminal device and assists the vehicle in merging into one of the vehicle groups searched for by the vehicle group search unit.

Abstract: A method of allocating resources in a mobile telecommunications system, the system including a base station configured to communicate via a wireless interface with one or more terminals and one or more infrastructure nodes configured to communicate with the one or more terminals. The method includes: obtaining measurements wherein a measurement relates to a link between a first terminal of the one or more terminals and one of the one or more infrastructure node; obtaining direction information for the first terminal; determining, based on the measurements and direction information, a candidate infrastructure node for the first terminal; and allocating resources for the first terminal to communicate with the candidate infrastructure node.

Abstract: A method produces visual information, by way of a mobile user device, for at least one occupant of the vehicle in connection with at least partially automated driving, in which method visual information, in particular an image sequence, is displayed on a display of the mobile user device. The image sequence represents a traffic situation detected by the vehicle and/or a need for action of an occupant which is requested or recommended in this context.

Abstract: A list of geographic search results is received, where each search result includes a location of a corresponding geographic entity and information related to the geographic entity. The list is organized according to an original order. The received search results are provided via the user interface according to the original order. In response to receiving a selection of one of the geographic search results via the user interface, a modified order of the list is generated based on (i) the original order of the list and (ii) the order in which the selection was received relative to other selections of geographic search results from the list. The received search results then are provided via the user interface according to the modified order.

Abstract: A method for controlling an autonomous driving apparatus of a vehicle includes receiving a destination for setting a route, obtaining driving history of a user and traffic information, determining a driving route to the destination based on information on the destination, information on the driving history, and the traffic information provided to a model trained through an artificial intelligence algorithm as input data, and performing autonomous driving along the determined driving route.

Abstract: The present disclosure relates to systems and methods for generating a control parameter associated with a plurality of traffic lights for a plurality of traffic-regulated sections at an intersection. The system may perform the methods to obtain a plurality of traffic parameters for the plurality of traffic-regulated sections; determine a traffic status of the intersection based on the plurality of traffic parameters; determine a target condition based on the traffic status of the intersection; and generate a control parameter associated with the plurality of traffic lights by using a target function, wherein the control parameter is configured to alter the operation of the plurality of traffic lights to optimize traffic at the intersection to reach the target condition.

Abstract: A method includes transmitting, to a driver computing device associated with a driver, navigational data to direct the driver to a first pick-up location and to direct the driver from the first pick-up location to a first drop-off location along a first route to fulfill a first transportation request associated with a first user. The method further includes determining that the first route is to be modified, identifying a drop-off area associated with the first drop-off location, and selecting a second drop-off location and a second route for the first user. The first drop-off location and the second drop-off location are located within the drop-off area. The method further includes transmitting, to the driver computing device, updated navigational data to direct the driver to the second drop-off location along the second route to fulfill the first transportation request.

Abstract: A driver assistance system for a vehicle including an autonomous cruise control to autonomously control at least vehicle speed, position data obtaining unit to obtain vehicle position data, ego-vehicle sensor data obtaining unit to obtain ego-vehicle sensor data related to objects in proximity to the vehicle, works data receiving unit to receive works data regarding current roadworks within a predetermined distance of the vehicle, and a processor to determine, based on the ego-vehicle sensor data, the works data, the position data, the vehicle's position and direction of travel relative to one or more roadworks, and when the processor determines the vehicle is approaching one or more roadworks and the vehicle distance to the roadwork is less than a threshold distance, or when the processor determines that the vehicle is already present within a roadwork and the autonomous cruise control is enabled, disable the autonomous cruise control.