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 vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane. The location polygons define geofenced regions, and each definition for a geofenced region can include one or more rules that are used to evaluate location information reported by a user’s equipment. The rules dictate whether an action it taken or inhibited, such as charging a toll or not charging a toll, based on other location information reported by the user’s equipment.

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.

One or more devices may obtain traffic data, such as video from intersection cameras, point cloud data from Light Detection and Ranging (or “LiDAR”) sensors, and so on. Metrics may be calculated from the traffic data. For each frame, the metrics may be analyzed to detect whether a near miss/collision occurs between each object in the frame (such as motorized or non-motorized vehicles, pedestrians, and so on) and each of the other objects in the frame. These metrics may be analyzed to evaluate whether or not a group of conditions are met. If the group of conditions are met, a near miss/collision may be detected. This may be recorded in the metrics for the objects involved. In some implementations, one or more indicators may be added to the traffic data and/or to one or more visualizations generated using the metrics, the traffic data, the structured data, and so on.

A method for determining a risk boundary in response to the plurality of indications of hard braking events wherein the risk boundary is indicative of a plurality of speed flow pairs at which a risk of a hard braking event is below a threshold value, determining, at a road segment level, a set of speed flow pairs of average speed and vehicle count and a plurality of indications of hard braking events , determining a host vehicle speed, and performing at least one of reducing the host vehicle speed and increasing a host vehicle following distance in response to the host vehicle speed exceeding the risk boundary for the vehicle flow density.

A method for determining a risk boundary in response to the plurality of indications of hard braking events wherein the risk boundary is indicative of a plurality of speed flow pairs at which a risk of a hard braking event is below a threshold value, determining, at a road segment level, a set of speed flow pairs of average speed and vehicle count and a plurality of indications of hard braking events , determining a host vehicle speed, and performing at least one of reducing the host vehicle speed and increasing a host vehicle following distance in response to the host vehicle speed exceeding the risk boundary for the vehicle flow density.

A system and method associate a transponder identifier with a transient user account. The account is automatically activated and vehicle license plate information from the transient user's vehicle is automatically associated upon departure of the transient user from a vehicle departure point of a transportation hub. Toll charges incurred by the vehicle can then be associated with the transient user's account based on either reading the transponder identifier or capturing the license plate information. The account is automatically deactivated and closed-out upon return of the vehicle to a vehicle return point at the end of the transient use.

A people count estimation apparatus includes an information management unit configured to at least manage road network data which is spatial information data regarding a road network formed to include a plurality of observation points and a road connecting the observation points, an observation point list which is a list of the observation points, and the numbers of people passing per unit time at the observation points in each direction of the road, a coefficient calculation unit configured to identify, from the observation point list, a first observation point where the number of people passing in each direction is not measured among the plurality of observation points, identify a second observation point where the number of people passing in each direction is measurable and which is connected to the first observation point by the road among the plurality of observation points, and calculate a weight that an observation value per time period at the second observation point contributes to the number of people passing in each direction at the first observation point, and an estimation unit configured to estimate the number of people passing in each direction at the first observation point using the weight, the observation value at the second observation point, and data regarding a people count observed at the first observation point.

A vehicle control method is provided such that when a host vehicle is stopped at a front of a vehicle line of vehicles in accordance with a stop signal of a traffic light at an intersection, the engine is stopped by using an idle stop control. When either a left-turn or a right-turn will be made after the traffic light changes to a go signal, a presence or an absence of a traveling body, which is stopped on a side of or behind the host vehicle in a direction from which the host vehicle is turning, is detected during the stop signal. Upon determining the traveling body is stopped on the side of host vehicle, restarting of the engine is placed on standby even when the traffic light turns to the go signal, and the engine is restarted in accordance with a behavior of the traveling body.