Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN). Traffic congestion often occurs in the saturated HGRN, and the mobility of the network is difficult to restore. In order to alleviate traffic congestion and to improve traffic efficiency in the network, the study proposes a regional traffic signal synchronization s...

The operational and safety performance of intersections is the key to ensuring efficient operation urban traffic. With development automated driving technologies, ability adaptive traffic signal control has been improved according data detected by connected vehicles (CAVs). In this paper, an was proposed optimize intersection. algorithm based on Q-learning considers loop detectors CAVs. Further...

The traffic signal design problem is a typical multiobjective optimization problem. In this research, a simulation-based multiobjective evolutionary approach for traffic signal design problems is proposed. This approach has a robust advantage that the numerical simulators and the optimization solvers can be changed and used easily for other applications. In this research, it combined the NSGA-I...

Our objective is to use information on the vehicles approaching an intersection to control the traffic signal. Recent work in this area has used this information to minimize the average delay of vehicles controlled by the signal. We demonstrate that, when there are significant differences in the volume of traffic approaching from different directions, the average delay of the vehicles in the lo...

While traffic signals are necessary to safely control competing flows of traffic, they inevitably enforce a stop-and-go movement pattern that increases fuel consumption, reduces traffic flow and causes traffic jams. These side effects can be alleviated by providing drivers and their onboard computational devices (e.g., vehicle computer, smartphone) with information about the schedule of the tra...

Real-time optimization of a traffic signal system is a difficult decision-making problem with no considerable model given. To achieve this optimization, a perfect tradeoff should be made between the distributed learning in each individual intersection, and the integrated cooperation in the whole traffic grid. This paper explores such a tradeoff and designs an efficient traffic signal system by ...

Transit signal priority TSP is recognized as having the potential to improve transit service reliability at small cost to general traffic. The popular preference for TSP encounters the challenges of various and challenging test scenarios. According to the stochastic characteristics of traffic flow, the signal timing model was established for TSP at an isolated signal intersection, where the pas...

Dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This paper proposed an adaptive and cooperative multi-agentfuzzy system for a decentralized traffic signal control. The proposed model has three levels of control, the current intersection traffic situation, its neighboring intersections recommendations and a knowledge base, whi...

In recent years vehicular travel has been increasing at a tremendous rate. The growth of traffic volumes at many intersections has neces­ sitated many changes in the control devices employed to regulate the intersecting traffic flows. The control devices most often used when the volumes are low are stop or yield signs. At high volume at-grade inter­ sections, however, a traffic signal is requir...