The Research On Signal Coordination Control Method For Urban Roads And Rail Vehicles

The research object of this paper is congestion urban roads mixed with artery and branch and the main purpose is to design a region coordinated control scheme which can be applicable to domestic unique traffic as well as complex road network in order to minimize vehicle traveling delay, reduce the parking number, shorten the time that the vehicle is traveling in the road, what’s more, the scheme apply the phase time dynamic adjustment algorithm in the intersection with rail vehicles to achieve the purpose that rail vehicles has highest priority. The main work of this paper is as follows:(1) First, the model of congestion urban roads mixed with artery and branch is build. The idea of focusing control urban artery is proposed for the problem of domestic urban complex roads. Second, the region coordination control algorithm is proposed, which has four basic steps: dividing subareas, calculating the initial cycle of each subareas, merging or splitting subareas, calculating the best cycle、offsets、green ratio of the intersection in the subarea. The cycle and offsets are optimized by employing green wave coordinated control algorithm within the subarea which based on the biggest green wave; The optimal green ratio scheme of each intersection were selected by employing the green ratio optimization algorithm. At last, the classic example and system simulation based on traffic data of Liling city demonstrate that more than30%green wave width can be obtained, and the parking numbers in a single intersection can be reduced by at least65%than the conventional strategy.(2) First, the phases of the intersections with rail vehicle in the Zhuhai city are designed. Second, the phase time dynamic adjustment algorithm is proposed in order to solve tackle the problem that conventional rail priority strategy has greater impact on traffic delay. According to the time that the train reaches the intersection, dynamically shorten or extend the each phase time in three cycles in order to achieve rail vehicles just enough to encounter green light when rail vehicles reach the intersection, so the rail vehicles can pass the intersection safely. Finally, the simulation result of VISSIM shows that the phase time dynamic adjustment algorithm can effectively reduce delay of the non-rail vehicles phase.