… This paper explores how to use connected vehicle data to design an adaptive signal control
algorithm. Further research could focus on integrating coordination and priority for special …

… We wrote our connected vehicle traffic signal control algorithms in Python [20], and simulated
it … range for connected vehicles is 400 meters), while the left-turn bays have 100 meters. …

… Abstract—We study the traffic signal control problem with connected vehicles by assuming
a … can be extended readily for the coordination of multiple signals. The problem can be first …

Connected vehicle (CV) technology brings both opportunities and challenges to the traffic
signal control (TSC) system. While safety and mobility performance could be greatly improved …

… two traffic signal control strategies, one … control is performed globally, the signal control is
decentralized as in the previous approaches. All inputs are obtained from connected vehicles …

… channel conditions and testing traffic signal control algorithms at increasing penetrations
of … a novel traffic signal control algorithm called Multi-mode Adaptive Traffic Signals (MATS) …

… connected vehicles will become available for signal control. This paper presents a framework
that uses connected vehicle data for adaptive signal control … , multimodal signal priority, …

… with the signal systems adaptively. We believe that the traffic signal control system will remain
… term when mixed human-driven vehicles or non-connected vehicles and CAVs co-exist in …

… existing adaptive traffic signal control methods in a connected vehicle environment and to
objectively … A framework of adaptive traffic signal control in a connected vehicle environment is …

… Abstract— We study the traffic signal control problem under the connected vehicle (CV) …
readily for the coordination of multiple signals. The signal control problem is to minimize the …