A system and method for providing increased traffic carrying capacity of a road, such as a highway, by modifying an existing roadway from, for example, four lanes to five lanes, to create an additional travel lane. The system and method dynamically changes the width of travel lanes using, for example, embedded pavement lights, or other lighting arrangements, in lieu of traditional painted lane lines. As traffic volumes increase and speeds decrease along the road, an intelligent transport system (ITS) sends a congestion signal to the overhead lane controls and dynamic message signs (DMS) along the entire road segment of interest. The posted speed limits are changed, and the lane markings are controlled to dynamically increase the number of lanes in the road segment to five, for example, of narrower widths until traffic volumes reduce and the number of lanes can be returned to four, for example, with normal speed limits.

A traffic signal control apparatus capable of controlling signal light colors at a target intersection and a downstream intersection, and includes: an acquisition unit configured to acquire a platoon length of platoon vehicles that are traveling on an inflow road of the target intersection, and an empty space length in a planned traveling route of the platoon vehicles; and a control unit configured to determine whether or not to control the signal light color at the downstream intersection corresponding to the planned traveling route of the platoon vehicles, according to a result of comparison between the platoon length and the empty space length.

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.

Controlling traffic signal preemption includes inputting to a conditional preemption circuit, values of incident parameters that include at least a vehicle unit identifier of a vehicle unit and an incident priority that describes an incident. The conditional preemption circuit determines a vehicle class based on one or more of the plurality of incident parameters. In response to a preemption request communicated from the vehicle unit, the conditional preemption circuit determines whether or not the vehicle unit qualifies for preemption at one or more intersections based at least on the vehicle class, location of the vehicle, and heading of the vehicle unit specified in the preemption request. Phase selection signals are communicated to traffic signal control circuitry at the one or more intersections in response to determining that the vehicle unit qualifies for preemption at the one or more intersections.

Controlling traffic signal preemption includes inputting to a conditional preemption circuit, values of incident parameters that include at least a vehicle unit identifier of a vehicle unit and an incident priority that describes an incident. The conditional preemption circuit determines a vehicle class based on one or more of the plurality of incident parameters. In response to a preemption request communicated from the vehicle unit, the conditional preemption circuit determines whether or not the vehicle unit qualifies for preemption at one or more intersections based at least on the vehicle class, location of the vehicle, and heading of the vehicle unit specified in the preemption request. Phase selection signals are communicated to traffic signal control circuitry at the one or more intersections in response to determining that the vehicle unit qualifies for preemption at the one or more intersections.

A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.

Various examples are provided related to multi-purpose context-aware bumps (CABs) that can support dynamic adaptation of form factors and functionality. In one example, a CAB system can include sensors distributed in a traffic network and communicatively coupled to a remotely located computing environment; context-aware bumps (CABs) placed in the traffic network and communicatively coupled to the remotely located computing environment; and a CAB application configured to adjust a form factor of a CAB in response to information obtained from the sensors and/or CABs. In another example, a method can include receiving, by a remotely located computing environment, traffic information from sensors distributed in a traffic network or CABs placed in the traffic network; communicating, by the remotely located computing environment, a form factor control to a CAB in response to the traffic information; and adjusting a form factor of the CAB in response to the form factor control.

An system, method, and non-transitory computer readable medium for managing traffic at a worksite. The system includes a traffic control signal, a wireless interface, a mast, a support base, a wireless control device, and a base station for communicating between the wireless interface and the wireless control device. The method involves receiving input from the wireless control device, generating a control signal got the traffic control signals. The non-transitory computer readable medium is encoded with codes for directing a processor to carry out the method.

An system, method, and non-transitory computer readable medium for managing traffic at a worksite. The system includes a traffic control signal, a wireless interface, a mast, a support base, a wireless control device, and a base station for communicating between the wireless interface and the wireless control device. The method involves receiving input from the wireless control device, generating a control signal got the traffic control signals. The non-transitory computer readable medium is encoded with codes for directing a processor to carry out the method.