Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors. Based on the location of the vehicle, one or more real time factors and real time data associated with the one or more real time factors may be calculated. The map data processing system may calculate, using the one or more historical factors and the one or more real time factors, a navigation score for each segment of a route from the location to a destination location. The map data processing system may determine one or more colors for each navigation score and/or generate a display of a navigation map comprising the one or more colors.

Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

A method and system for displaying indications for two-wheeled vehicles is disclosed herein. The system comprises a scooter processing unit. A rider profile database is stored at a memory coupled to the scooter processing unit. A route prediction unit is configured to predict a route of the two-wheeled vehicle based on the rider profile. A scooter motion tracking unit is configured to receive a set of sensing input parameters from at least one sensor mounted aboard the two-wheeled vehicle and a Control interface (CI), and for detecting a start instance and an end instance of a manoeuvre being performed by the two-wheeled vehicle. An indication control unit, communicatively coupled to the scooter motion tracking unit, is configured to receive a trigger signal corresponding to the start instance, and an end signal corresponding to the end instance for controlling the operation of an LED indicator.

A method includes, by a processor, acquiring number of persons information that indicates a number of users, including users who ride in vehicles, who depart from a facility at each of a predetermined time period, weather information for each predetermined time period, and vehicle information relating to vehicles traveling in a periphery of the facility, determining traffic jam status that indicates absence/presence of a traffic jam on a road located in a vicinity of the facility in the predetermined time period, by using the vehicle information; and generating a learned model for predicting a traffic jam of a road by machine learning using, as teaching data, the number of persons information, the weather information, and the traffic jam status that is associated with the number of persons information and the weather information.

The embodiments of the present disclosure provide a method for planning a garbage cleaning route in a smart city and an Internet of Things (IoT) system. The method is implemented by the Internet of Things system for planning a garbage cleaning route in a smart city. The IoT system includes a user platform, a service platform, a management platform, a sensor network platform and an object platform. The method is performed by the management platform. The method includes obtaining monitoring information on at least one road in a road network area, and recognizing a garbage accumulation situation on the at least one road; determining at least one target garbage cleaning point based on the garbage accumulation situation; and determining a garbage cleaning route based on the at least one target garbage cleaning point.

Route planning for a hybrid electric vehicle (HEV) includes obtaining respective engine activation actions for at least some road segments of a route between an origin and a destination by optimizing for at least one of a noise level or energy consumption of an engine of the HEV that is used to charge a battery of the HEV. The HEV is then controlled to follow the at least some of the road segments of the route and to activate the engine according to the respective engine activation actions. Controlling the HEV to follow the at least some of the road segments includes masking at least one of the respective engine activation actions for a current road segment by increasing a volume of an entertainment system of the HEV.

Surface penetrating radar interrogates a region adjacent a pathway of the vehicle in response to activation by a user. An object detection system which is responsive to the radar transceiver is configured to recognize one or more spatial signatures of one or more detected objects in the region. A controller coupled to the radar transceiver and the object detection system is configured to (i) compare a respective spatial signature of at least one of the detected objects to a plurality of predetermined target signatures to detect an infrastructure asset, (ii) assess a perimeter around the detected infrastructure asset to estimate a severity of an obstruction blocking the infrastructure asset, and (iii) convey an alert message to the user when the estimated severity is greater than a threshold.

Techniques are provided for autonomous vehicle fleet management for reduced traffic congestion. A request is received for a vehicular ride. The request includes an initial spatiotemporal location and a destination spatiotemporal location. A processor is used to generate a representation of lane segments. Each lane segment is weighted in accordance with a number of other vehicles on the lane segment. A vehicle located within a threshold distance to the initial spatiotemporal location is identified such that the identified vehicle has at least one vacant seat. The processor is used to determine a route for operating the identified vehicle from the initial spatiotemporal location to the destination spatiotemporal location. The route includes one or more lane segments of the lane segments. An aggregate of weights of the one or more lane segments is below a threshold value. The received request and the determined route are transmitted to the identified vehicle.

A route risk mitigation system and method using real-time information to improve the safety of vehicles operating in semi-autonomous or autonomous modes. The method mitigates the risks associated with driving by assigning real-time risk values to road segments and then using those real-time risk values to select less risky travel routes, including less risky travel routes for vehicles engaged in autonomous driving over the travel routes. The route risk mitigation system may receive location information, real-time operation information, (and/or other information) and provide updated associated risk values. In an embodiment, separate risk values may be determined for vehicles engaged in autonomous driving over the road segment and vehicles engaged in manual driving over the road segment.

Embodiments provide techniques, including systems and methods, for determining alternate request locations based on a pickup location score (PLoS) of a location associated with transportation request information. A pickup location score may include an objective quantitative measurement of the fitness of a location for a pickup by a provider. For example, embodiments may receive transport request information associated with a requestor computing device including a request location, determine a modified request location based at least on a location score for each of one or more alternate request locations that are within a threshold distance of the request location, and send modified transport request information associated with the modified request location and the first requestor computing device to a provider computing device associated with a matched provider for the transport request information.