Systems, methods, and other embodiments for vehicle route scheduling and navigation with dynamic selection of turns across opposing traffic are presented herein. In one embodiment, a method includes during development of a vehicle route from an arrival link through a node of a graph representing a road network, determining, for a departure link, that a path of the vehicle from the arrival link to the departure link crosses oncoming traffic, and in response to determining that that the path of the vehicle crosses oncoming traffic, adding an additional delay for the departure link to a route objective function representing the vehicle route; selecting the route including the path that crosses oncoming traffic to be an optimum route between a first location and a second location; including the optimum route in the delivery schedule for the vehicle; and transmitting the delivery schedule for execution.

A movement assistance device guides a user to a meeting location for meeting a vehicle. The movement assistance device calculates a first required time until the vehicle arrives at the meeting location, and a plurality of routes from the user's current location to the meeting location. The movement assistance device calculates a second required time for the user to arrive at the meeting location from the user's current location for each route. The movement assistance device then determines the route associated with the second required time as a route via which the vehicle could be met on time when a second required time is the same as or shorter than the first required time. The movement assistance device then causes the communication device to output information that indicates the route or routes determined to be the route or routes via which the vehicle could be met on time.

Methods and systems are provided for estimating a carbon footprint of a vehicle in real-time. In one example, the carbon footprint is estimated based on blockchain data. The blockchain data may record carbon emissions generated along one or more energy supply chains of the vehicle, and the estimated carbon footprint may be displayed at a user interface at a list of estimated carbon footprints corresponding to recharging or refueling sites.

Embodiments described herein may provide a method for identifying the location of a hazard, evaluating how long that hazard is likely to be present at the location, and providing an indication of the time to live of the hazard. Methods may include: receiving an indication of a hazard event, where the hazard event includes a timestamp and a location; map matching the location of the hazard event to a map-matched road segment; determining a time to live of the hazard event based, at least in part, on the timestamp and the map-matched road segment; providing an indication of the time to live of the hazard event as at least one of a database entry or a map user interface element; and providing for at least one of route guidance or navigational assistance based, at least in part, on the time to live of the hazard event.

A tolling system is operable to reduce the number of manual reviews of a toll point images needed to process toll fee charges by separately reporting from both toll points and mobile device in vehicles running a tolling application program the lane and crossing time when traversing a toll point. A tolling service can match records produced by the toll points with records providing by the mobile device when the toll point cannot immediately determine the identity of the toll customer passing through the toll point.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

A route guidance apparatus according to an embodiment of the present disclosure includes a route search unit that performs a route search based on a route search instruction from a user including information indicating a departure place and a destination, a difficulty level calculation unit that calculates a difficulty level for each of the multiple routes obtained as a search result, a required time calculation unit that calculates a required time for each of the multiple routes, a spatial cognitive ability value acquisition unit that acquires a spatial cognitive ability value representing spatial cognitive ability of the user, a route selection unit that selects a route recommended to the user from the multiple routes based on the calculated difficulty level, the calculated required time, and the acquired spatial cognitive ability value, and an output unit that outputs the selected route.

A method of controlling movement of multi-vehicle includes acquiring a constraint condition under which vehicles move and a calculation cycle for calculating movement routes of the vehicles; acquiring a position of each vehicle; specifying a target position for each vehicle; calculating, based on the position of each vehicle, the target position, and the constraint condition, a movement route for prediction steps of each vehicle; determining, based on the movement routes of the vehicles, a driving condition of each vehicle from a current time to a unit time; and controlling movement of each vehicle. Calculating the movement route including performing optimization calculation based on an evaluation function, evaluation of which becomes higher as a deviation between the vehicle and the target position for each prediction step becomes smaller, and the constraint condition, to calculate the movement route.

A safety warning system including at least one sensor or sensor system to detect an abnormal safety situation relative to a safety zone, at least one network transmitter associated with the at least one sensor or sensor system, at least one controller associated with the at least one sensor or sensor system to receive information from the at least one sensor or sensor system and issue an alert signal based on a comparison of the information received and a safety setpoint, the alert signal issued over a safety zone network, and at least one wearable unit provided for each user in the safety zone, the wearable unit providing at least a tactile alert to the user based on the comparison to warn the user of the occurrence of an abnormal safety situation within the safety zone.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.