A warning system and method are provided. The warning system includes a plurality of sensing apparatuses and a server. The sensing apparatuses are used for sensing a driving trajectory of each of a plurality of two-wheeled vehicles. The server compares the driving trajectories with an accident hotspot list to determine whether at least one first driving trajectory matches an accident hotspot location, wherein the accident hotspot list is generated by a plurality of driving behavior events corresponding to each of the two-wheeled vehicles. The server generates a warning message to remind a first driver of a first two-wheeled vehicle corresponding to the at least one first driving trajectory when determining that the at least one first driving trajectory matches the accident hotspot location.

The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

Aspects of the subject disclosure may include, for example, using an AI machine to predict one or more traffic patterns, and the comparing the predicted traffic patterns to actual traffic patterns. Recommended travel paths may be modified as a result. AI machines may be feed-forward or recurrent, and may be trained using any suitable algorithm, including deep learning. Other embodiments are disclosed.

The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

System and methods for determining traffic violation hotspots based on roadway feature and/or sensor data. Traffic violation hotspots include, for example areas where traffic violations are more likely to occur such as traffic light jumping, wrong way driving, over speeding, not wearing seatbelt, avoiding stop signs and red lights, distracted driving, passing other vehicles in a no-passing zone, among others. Traffic violation data from one region is used to train a model that is applied to a second region for which traffic violation data does not exist or is limited.

A system and method for recommending one or more relevant tasks based on the two or more relevant information associated to the user and traffic. The proposed system and method retrieves all the possible information associated to the traffic and the user and consolidates the information to determine the relevant tasks based on the one or more criteria.

One or more processors identify an occupant of a passenger vehicle, and then receive biometric sensor readings from a biometric sensor that is monitoring the occupant in real time, where the biometric sensor readings indicate a real-time emotional state of the occupant. The processor(s) generate a personal profile for the occupant of the passenger vehicle based on the biometric sensor readings. The processor(s) receive a desired destination and travel schedule for the occupant of the passenger vehicle, as well as environmental sensor readings indicating a real-time environmental state of the passenger vehicle. The processor(s) then create a travel route for the passenger vehicle based on the biometric sensor readings, the personal profile of the vehicle occupant, the desired destination and travel schedule, and the real-time environmental state of the passenger vehicle. One or more processors then transmit, to the passenger vehicle, directions for the travel route.

In some implementations, a mobile device transmits traffic information to a server for analysis. The traffic information includes movement information including detected stops and durations of detected stops. The traffic information is analyzed to detect traffic patterns that indicate locations of stop signs and/or stop lights. The traffic information is analyzed to determine durations of stops at stop signs and/or stop lights. The durations of stops is associated with a time of day and/or day of the week. In some implementations, navigational routes is determined based stop sign and/or stop light information, including the delays attributable to detected stop signs and/or stop lights.

Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

A method of processing speed data is disclosed for use in the provision of enhanced map data including a plurality of navigable segments which together may define a navigable route in an area covered by a digital map. In at least one embodiment, the method includes (i) obtaining the speed data for at least one segment, the speed data including the measured speed of travel of a plurality of vehicles through the segment at different times; (ii) generating from the speed data for the at least one segment, data on at least one normal speed profile including an average speed of travel through the segment for a time recurring weekly; (iii) for at least one specified time, generating for the at least one segment data on at least one abnormal speed profile including an expected speed of travel through the segment during the specified time, the specified time being a time that does not occur weekly; and (iv) assigning to the at least one segment of the map data the corresponding normal speed profile and the abnormal speed profile for use by a navigation device in routing algorithms to determine a journey across the area.