An apparatus according to one aspect of the present invention determines whether or not platoon vehicles can pass through an intersection, and includes: a calculation unit that calculates a first distance, a second distance, and a third distance described below; and a determination unit that determines whether or not the platoon vehicles can pass through the intersection, based on a result of comparison of the first distance with the second and third distances. First distance: a distance from a stop line of the intersection to a position of a leading vehicle at the present time. Second distance: a distance obtained by subtracting a platoon length from a distance of traveling for a remaining green interval at a vehicle speed at the present time. Third distance: a distance required for the leading vehicle to safely stop before the stop line of the intersection, with the vehicle speed at the present time.

With the aim of contributing to the optimization of commuting systems, roadways, and other motion systems, Pace Delineation jibe iota (PD) addresses the issue of crossing paths of travel. PD is the process of gathering and analyzing velocities, positions, and other parameters and properties of traversing units to determine the velocities of each such that they do not arrive at the intersections at the same time. Such coordination can help avoid the stoppage of vehicles at an intersection, and collisions obviously. The process also accommodates an overtaking condition which may be used to prioritize emergency responders or other traversals.

With the aim of contributing to the optimization of commuting systems, roadways, and other motion systems, Pace Delineation jibe iota (PD) addresses the issue of crossing paths of travel. PD is the process of gathering and analyzing velocities, positions, and other parameters and properties of traversing units to determine the velocities of each such that they do not arrive at the intersections at the same time. Such coordination can help avoid the stoppage of vehicles at an intersection, and collisions obviously. The process also accommodates an overtaking condition which may be used to prioritize emergency responders or other traversals.

Techniques for creating, configuring, and employing flow management lights are presented. Such light(s) can comprise or be associated with a flow management component (FMC) that can employ sensors to monitor environmental conditions in a defined area of people or vehicle traffic, and can enhance its function to manage flow and security of the people or vehicle traffic. Such light(s) can be installed in a defined area. FMC can monitor and determine a context associated with the defined area, and can adjust light output or another parameter(s) of one or more lights based on the determined context. Over time, FMC can learn contexts of people or vehicle traffic at various times and adjust operations accordingly for the particular context at a specific time. FMC can control operations of such light(s) in relation to enhancing security and safety of people or traffic, business and sales operations, and other objectives.

A method at a computing device in an intelligent transportation system for reconfiguring a road segment, the method including receiving a request from a second computing device associated with a vehicle to change a configuration for the road segment; determining a road segment configuration; and reconfiguring the road segment based on the determined road segment configuration.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

An example operation includes one or more of receiving, by a first transport, an indication from a traffic signal that the first transport is legally able to move from a stopped disposition, elapsing a period of time between receiving the indication and the first transport did not move during the period of time, and receiving a notification at the end of the period of time, by the first transport, that the first transport ought to move.

An example operation may include one or more of configuring a first sensor to capture image data and a second sensor to capture depth data of one or more objects at an intersection, receiving, at a computing system, traffic data comprising the image sensor data, the depth sensor data, and data of a traffic light, determining, by the computing system, a potential accident when a blockage in a field of view of the one or more objects exists from the traffic data, creating, by the computing system, an anomaly report of the potential accident, transmitting, by the computing system, the anomaly report to the one or more objects, and reacting, at the one or more objects, to avoid the potential accident, based on the anomaly report.

An example operation may include one or more of configuring a first sensor to capture image data and a second sensor to capture depth data of one or more objects at an intersection, receiving, at a computing system, traffic data comprising the image sensor data, the depth sensor data, and data of a traffic light, determining, by the computing system, a potential accident when a blockage in a field of view of the one or more objects exists from the traffic data, creating, by the computing system, an anomaly report of the potential accident, transmitting, by the computing system, the anomaly report to the one or more objects, and reacting, at the one or more objects, to avoid the potential accident, based on the anomaly report.