A traffic intersection monitoring system and method to ensure a traffic signal is viewable by vehicles, bicyclists, and pedestrians, by measuring the color light intensity of the signal light, and monitoring the orientation of the traffic signal light. Each phase of color is timed and coordinated with traffic counters to generate a real-time status of predicted future traffic signal light color with corresponding traffic volume. The predicted status and traffic counts are published for the use of any applicable subscriber of the traffic intersection monitoring system.

Telematics data, including geolocation data, may be collected, monitored, measured, and/or generated by one or more processors communicatively coupled with memory and associated with a mobile, machine, and/or vehicle device. Telematics data may also be collected from one or more external vendors. Geolocation data pertaining to the mobile, machine and/or vehicle device may be analyzed to derive valuable information on the presence, dwell times, and movements of human beings. For example, a rate of human beings, such as, e.g., the cars in which they are driving or riding, traversing an area at specific times of day and days of the week can be inferred. In some cases, this information may also be used to plan and adapt highway systems, construction plans, and business plans. Significant reductions in vehicle emissions can be achieved, congestion can be limited, safety can be enhanced, and travel times reduced by helping commuters and other drivers choose uncongested routes to their destinations.

A method maneuvers vehicles in clusters. The method forms a first main cluster, the first main cluster having at least two 1st-order sub-clusters that each have at least one cluster vehicle, and having a first cluster formation with a predefined cluster length. The method determines a first leading vehicle for the first main cluster from the cluster vehicles; and maneuvers the first main cluster. The cluster vehicles of the first main cluster orient themselves to the first leading vehicle. The first cluster formation is maintained for the first main cluster for as long as the maximum length of the first main cluster remains less than or equal to the sum of the predefined cluster length and a tolerance length.

A method for predicting traffic light information by using a LIDAR is provided. The method includes steps of: (a) on condition that each of metadata has been allocated for each of virtual boxes included in a region covered by the LIDAR, obtaining, by a server, at least part of start timing information and stop timing information of a plurality of vehicles for each of the virtual boxes; and (b) predicting, by the server, each of pieces of the traffic light information respectively corresponding to each of the virtual boxes by referring to at least part of the start timing information and the stop timing information of the vehicles for each of the virtual boxes.

A traffic signal control system includes a processor configured to adjust a green time of a traffic signal based on vehicle class information on each of vehicles of a vehicle group approaching an intersection. The vehicle class information indicates whether the vehicle is an environmentally friendly vehicle or an environmentally unfriendly vehicle that is not the environmentally friendly vehicle.

Provided is a control unit that executes generation of an operation command for a plurality of vehicles of different categories, including a vehicle that can travel with an electric motor, based on information on a predetermined area that is an area where only the vehicle that can travel with an electric motor is allowed to pass through.

A control apparatus (10) generates probe data from sensing data obtained by sensing objects in a mobile object's surroundings. The control apparatus (10) selects at least some pieces of probe data as transmission data from the probe data generated, according to a communication resource determined according to a role of the mobile object. The control apparatus (10) transmits the transmission data selected to a management server (20). The management server (20) updates management data such as a dynamic map based on the transmission data.

A control apparatus (10) generates probe data from sensing data obtained by sensing objects in a mobile object's surroundings. The control apparatus (10) selects at least some pieces of probe data as transmission data from the probe data generated, according to a communication resource determined according to a role of the mobile object. The control apparatus (10) transmits the transmission data selected to a management server (20). The management server (20) updates management data such as a dynamic map based on the transmission data.

A vehicle collision avoidance and driver notification system includes an object detection unit configured to detect environmental obstacles and a collision detection unit for assessing risk of collision. Depending on risk assessment, a collision avoidance unit gives feedback to the driver or directly interacts with the vehicle engine.

Systems and techniques are described for enabling access and egress to dedicated lanes in a vehicular environment. In some implementations, a system include a central server, a gantry system, and a plurality of sensors. The plurality of sensors are positioned in a fixed location relative to a roadway. Each sensor in the plurality of sensors can detect vehicles in a field of view on the roadway. For each detected vehicle, each sensor can generate sensor data and provide the generated sensor data to the gantry system. The gantry system can receive the sensor data and determine whether the detected vehicle can access the dedicated lane based on the received sensor data. In response to determining the detected vehicle can access the dedicated lane, the gantry system can display an entry speed, open a gate to enable the detected vehicle access, and display an access indicator to the detected vehicle.