In this disclosure, collaborative multi-agent-based TST is presented with dedicated intersection controllers that include software agents which read local and remote detection systems and then collaboratively optimize signal timing phases by considering the feedback of all controller agents that may be affected by a change. The disclosure also presents an augmented system which considers network input from handheld remote devices to update certain traffic light phase information and adapt to emerging emergency situations.

A method of controlling traffic at a first intersection having a first traffic light is disclosed, including monitoring traffic at the first intersection and storing traffic information from the monitoring in memory; receiving traffic information relating to one or more other intersections in an area in which the first intersection is located; determining a timing sequence for the first traffic light based at least in part upon the traffic information from the monitoring and the received traffic information; and updating control of the first traffic light to utilize the determined timing sequence.

A method of controlling traffic at a first intersection having a first traffic light is disclosed, including monitoring traffic at the first intersection and storing traffic information from the monitoring in memory; receiving traffic information relating to one or more other intersections in an area in which the first intersection is located; determining a timing sequence for the first traffic light based at least in part upon the traffic information from the monitoring and the received traffic information; and updating control of the first traffic light to utilize the determined timing sequence.

A method for obtaining signal light duration data is provided. The method includes obtaining, from running track data of plural positioning terminals, an intersection phase and a set of track sequences that correspond to the intersection phase. A state alternation sequence is obtained from the set of track sequences for the intersection phase. A signal light duration sample value of the intersection phase is obtained from the state alternation sequence, and signal light duration data is generated according to the signal light duration sample value.

A method for obtaining signal light duration data is provided. The method includes obtaining, from running track data of plural positioning terminals, an intersection phase and a set of track sequences that correspond to the intersection phase. A state alternation sequence is obtained from the set of track sequences for the intersection phase. A signal light duration sample value of the intersection phase is obtained from the state alternation sequence, and signal light duration data is generated according to the signal light duration sample value.

A system and method is provided to optimize traffic light activity and minimize traffic congestion. Traffic conditions are monitored by sensors and the algorithm dynamically controls the green light time to account for traffic conditions and enhance the traffic flow across two or more traffic lights.

A method to schedule intelligent traffic lights in real time based on digital infochemicals (DIs) is disclosed. The method takes advantage of DIs as medium to both predicate traffic flow and smooth the green/Cycle (g/C) ratio. First collect DIs, then update DIs by three actions including aggregation, evaporation, and propagation. After that, adjust the g/C ratio of the traffic light. DIs have the function of prediction due to the propagation that allows DIs reach the traffic earlier than the real traffic flow. On the other hand, DIs have the function of memory due to the evaporation that remembers the information of the historical traffic flow. The prediction and memory of DIs, as the reason why DIs are superior to the pure traffic flow, give the DI-based intelligent traffic light compelling advantages over the pure traffic based intelligent traffic light.

A method to schedule intelligent traffic lights in real time based on digital infochemicals (DIs) is disclosed. The method takes advantage of DIs as medium to both predicate traffic flow and smooth the green/Cycle (g/C) ratio. First collect DIs, then update DIs by three actions including aggregation, evaporation, and propagation. After that, adjust the g/C ratio of the traffic light. DIs have the function of prediction due to the propagation that allows DIs reach the traffic earlier than the real traffic flow. On the other hand, DIs have the function of memory due to the evaporation that remembers the information of the historical traffic flow. The prediction and memory of DIs, as the reason why DIs are superior to the pure traffic flow, give the DI-based intelligent traffic light compelling advantages over the pure traffic based intelligent traffic light.

A vehicle driving assistance device includes a driving assistance controller and an acquisition portion. The driving assistance controller includes a signal information acquisition part, a remaining distance calculator, and a driving assistance information output portion. The acquisition portion acquires information on (i) a vehicular speed and remaining distance to the intersection of an intersecting-side vehicle travelling on an intersecting road that joins a main road at the intersection, (ii) an arrival time when the intersecting-side vehicle arrives at the intersection, or (iii) lighting period information of an intersecting-side traffic signal. The driving assistance controller updates lighting period information of a main-side traffic signal based on information acquired from a road-to-vehicle communication transceiver, and outputs driving assistance information based on the updated lighting period information.

A vehicle driving assistance device includes a driving assistance controller and an acquisition portion. The driving assistance controller includes a signal information acquisition part, a remaining distance calculator, and a driving assistance information output portion. The acquisition portion acquires information on (i) a vehicular speed and remaining distance to the intersection of an intersecting-side vehicle travelling on an intersecting road that joins a main road at the intersection, (ii) an arrival time when the intersecting-side vehicle arrives at the intersection, or (iii) lighting period information of an intersecting-side traffic signal. The driving assistance controller updates lighting period information of a main-side traffic signal based on information acquired from a road-to-vehicle communication transceiver, and outputs driving assistance information based on the updated lighting period information.