Abstract: A system for navigation and ride hailing that provides options for navigating traffic through express lanes or the like. Information, such as express lane profile information, toll price information for the express lane during a period, and traffic information along one or more paths may be used to determine the fastest options along to a destination at different toll price points.

Abstract: A method for trajectory planning for a commercial vehicle at a traffic junction, in particular including a traffic circle, by a control unit is provided. Trafficability of a lane of the commercial vehicle within a lane width of the traffic junction is checked prior to traveling into the traffic junction, traveling through a center of the traffic junction via an alternative trajectory is checked when normal negotiating of the traffic junction is not possible, and detection and/or prediction of surrounding traffic and trajectory planning of the alternative trajectory are carried out, taking the detected and/or predicted surrounding traffic into account. Moreover, a control unit, a computer program, and a machine-readable memory medium are provided.

Abstract: Embodiments of the present disclosure provide a navigation method, device and system for a cross intersection. The method includes: receiving a message transmitted from a vehicle controller, where the message indicates a request of a vehicle for passing an intersection; and determining whether to allow the vehicle to pass the intersection based on an occupancy condition of the intersection and transmitting an action instruction to the vehicle controller to cause the vehicle controller to control movement of the vehicle.

Abstract: A traffic flow estimation apparatus includes: a vehicle number detector which detects a number of preceding vehicles in front of the traffic flow estimation apparatus and; a traffic flow estimator which estimates a traffic flow from the number of preceding vehicles, and the traffic flow estimator includes: an acquisition unit which acquires a time series of the number of preceding vehicles in a first predetermined period as a vehicle number time series; an evaluation index calculation unit which calculates an evaluation index of the vehicle number time series in the first predetermined period; a congestion state determination unit which determines the traffic flow of the preceding vehicles on the basis of the evaluation index; and a traffic flow controller which notifies a following vehicle behind the traffic flow estimation apparatus of an indication with respect to travel on the basis of the traffic flow of the preceding vehicles.

Abstract: The described technology is generally directed towards policy based navigation control. Map inputs including, e.g., information about blocked routes or other map information, can be collected from mobile devices. Policies can be applied to the map inputs in order to generate navigation advisories that synthesize information from multiple map inputs. For example, a size and shape of a route blockage zone can be determined from multiple discrete map inputs. In some embodiments, the techniques disclosed herein can be applied in connection with shared overlay maps to support automated, real-time, cross-platform sharing of map information, including navigation advisories, among digital navigational map users, including but not limited to unmanned ground vehicles.

Abstract: The described technology is generally directed towards generating a simulated virtual experience that represents predicted interaction of a user/vehicle with traffic in a traffic zone. A user who is considering entering a traffic zone (e.g., that charges a fee for usage) can request a simulated virtual experience of what is likely to occur if the user decides to enter. Based on the simulated virtual experience, which can be a graphical visualization in 3D, the user can make an informed decision as to whether to enter and pay, or not enter. User-specific data such as user preferences and other provided criterion can be used with respect to generating the simulated virtual experience. For current users about to enter the zone, current traffic data is used along with historical data in generating the simulated virtual experience.

Abstract: A method of guiding an accelerator pedal of an electric vehicle includes calculating a target instant fuel efficiency, calculating a target torque corresponding to the target instant fuel efficiency, calculating a target open degree of the accelerator pedal based on the target torque, receiving an actual open degree of the accelerator pedal manipulated by a driver, and displaying the target open degree of the accelerator pedal and the actual open degree of the accelerator pedal.

Abstract: A method of assisting a motor vehicle driven in an at least semiautomated manner, for passing through a tunnel. The method includes: receiving surrounding-area signals that represent an area, which surrounds the motor vehicle, and of which at least a part includes a tunnel; receiving safety condition signals, which represent at least one safety condition that must be satisfied, so that the motor vehicle may be assisted from outside of the motor vehicle while passing through the tunnel; checking if the at least one safety condition is satisfied; generating data signals, which represent data suitable for assisted traversal of the tunnel by the motor vehicle, based on the surrounding-area signals, and based on a result of whether the at least one safety condition is satisfied; outputting the generated data signals. A device, a computer program, and a machine-readable storage medium are also described.

Abstract: A multi-motor switching system and method for obtaining a global optimization of performance criteria that takes into account variables and conditions across an entire driving cycle. The controller of the system is adapted to conduct a global optimization in that it determines the most optimal distribution of motor loads over an entire trip or driving cycle, as opposed to sequentially determining the optimized solution for a given point of time and localized set of current condition. In one embodiment where the control system provides for global optimization, the controller receives trip information through a trip planning tool. The controller utilizes the trip information to generate a driving cycle and further incorporates this information into the optimization process performed by the controller to determine the optimal solution for the entire trip.

Abstract: An information processing device is provided with a controller which executes: obtaining predetermined service information including an advertisement; obtaining predetermined user information on biological information of a user in a vehicle in which the user rides; estimating a health condition of the user based on the user information; extracting distribution information which is information, among the service information, is judged to match the user based on the user's health condition, and which is information about a medical facility according to the health condition or/and information about a predetermined store which sells goods according to the health condition; and selecting, based on position information of the vehicle, information to be actually distributed to the user from among the distribution information thus extracted, and providing the information thus selected to the user, by transmitting the selected distribution information to an on-board device of the vehicle.

Abstract: A method and device for operating an automated vehicle. The method includes a step of receiving a position of the automated vehicle, a step of providing a map, as a function of the position, a step of receiving environment data values, which represent an environment of the automated vehicle, as a function of the position, a step of producing an environment model, as a function of the environment, on the basis of the map, and a step of operating the automated vehicle, as a function of the environment model.

Abstract: An approach is provided for automatically detecting a road closure during a probe anomaly. The approach, for example, involves determining a drop in an expected vehicle volume in a geographic area over a time epoch, wherein the expected vehicle volume represents an expected number of unique vehicles traveling in the geographic area over the time epoch. The approach also involves computing an adjusted expected vehicle volume for a road segment in the geographic area based on the drop and a historical expected vehicle volume for the road segment over the time epoch. The approach further involves determining a time window comprising at least the time epoch. The approach further involves performing an automatic road closure detection on the road segment using the time window.

Abstract: A system for battery management for a vehicle that includes at least a battery coupled to the vehicle, at least a sensor coupled to the battery, the sensor configured to detect an internal state datum of the battery, and transmit the internal state datum to a computing device, a computing device, the computing device configured to receive the internal state datum from the at least a sensor, generate an alert datum as a function of the internal state datum and an alert threshold, transmit the alert datum to a remote device, and a remote device communicatively connected to the vehicle, the remote device is configured to, receive the alert datum from the computing device, and display the alert datum.

Abstract: An example operation includes one or more of determining, via a server, a dangerous area on a route of a transport, wherein the dangerous area is based on a new condition of an area, sending a notification to the transport, via the server, of the dangerous area and the new condition and performing, via the transport, at least one atypical action to traverse the dangerous area until a resolution of the new condition occurs, wherein the atypical action comprises one or more movements that do not typically occur on or around the dangerous area.

Abstract: A system and method for real world autonomous vehicle trajectory simulation may include: receiving training data from a data collection system; obtaining ground truth data corresponding to the training data; performing a training phase to train a plurality of trajectory prediction models; and performing a simulation or operational phase to generate a vicinal scenario for each simulated vehicle in an iteration of a simulation. Vicinal scenarios may correspond to different locations, traffic patterns, or environmental conditions being simulated. Vehicle intention data corresponding to a data representation of various types of simulated vehicle or driver intentions.

Abstract: Methods and systems for predicting congestion duration are described. A processor can detect an occurrence of an incident in an area. The processor can receive context data associated with the area from at least one data source. The processor can execute a prediction engine using the received context data to predict a clearance time indicating a predicted completion time of post-incident activities related to the incident in the area. The processor can determine a congestion duration based on the clearance time. The congestion duration can be an estimated duration of congestion in the area in response to the occurrence of the incident. The processor can compare the congestion duration with a threshold. The processor can select, based on the comparison, at least one operation to optimize an amount of congestion in the area. The processor can execute the selected operations to optimize the amount of congestion in the area.

Abstract: A method and apparatus for planning a travelling path, and a vehicle are provided. The method includes: determining at least one reference curve covering a first length range, and selecting a target reference curve covering the first length range from the at least one reference curve covering the first length range; extracting a curve to be adjusted covering a second length range from the target reference curve covering the first length range; processing the curve to be adjusted based on a safety parameter within the second length range, to obtain an adjusted curve; and determining a travelling path covering the first length range based on the adjusted curve and the target reference curve. The complexity of an actual traffic scene is taken into account, and a travelling path planning is not affected by the accuracy of sampling points.

Abstract: System, methods, and embodiments described herein relate to creating and utilizing one or more vehicular micro clouds to assist in responding to a traffic event. At least one disclosed method includes receiving report information indicating a detection of a traffic event and including a location of the traffic event, defining a region of interest based at least in part on the report information, forming a dependent vehicular micro cloud in the region of interest, determining guidance information based at least in part on the report information, and transmitting the guidance information to the dependent vehicular micro cloud. The dependent vehicular micro cloud executes at least one responsive action based on the guidance information.

Abstract: A host map system for updating a region of a host map based on sensor data received from a plurality of connected vehicles travelling in the region comprises monitoring a host map region for discrepancies, defining a geo-fence around an area of a discrepancy and setting a schedule for activing the geo-fence. When a connected vehicle enters the geo-fence, the host mapping system transmits the geo-fence to the connected vehicle and requests that it share its sensor data while travelling in the geo-fenced area. The host mapping system receives the sensor data and processes the data to update details of the host map. The host mapping system may transmit the updated map to connected vehicles travelling in the map region.

Abstract: Batch routing of autonomous vehicles is disclosed. A method may include maintaining a plurality of vehicle state data object instances that respectively correspond to a plurality of autonomous vehicles. The method includes obtaining a traffic condition location and determining a group of autonomous vehicles from the plurality of autonomous vehicles where the current route of each autonomous vehicle intersects the traffic condition location. The method also includes determining two or more subgroups of autonomous vehicles, and for each subgroup, determining a respective avoidance waypoint corresponding to the subgroup that is not on the current route of the autonomous vehicle. For each autonomous vehicle in the subgroup, the method includes determining an updated route based on the current route of the autonomous vehicle and the respective avoidance waypoint, generating a control instruction based on the updated route, and transmitting the control instruction to the autonomous vehicle.