Research On Road Traffic Arterial Signal Coordination Control Technology

Arterial traffic signal coordination control is an important part of intelligent transportation system (ITS), and it plays a significant role in relieving traffic congestion and improving traffic efficiency of intersections and highway network. In this paper, urban traffic artery is served as major research object, then arterial signal coordination control is studied, and its realizable method based on offset optimization is mainly researched.The paper introduces basic theories of road traffic signal control at length, then method of maximum green-wave band and method of minimum delay are studied and analyzed, which are two common methods of arterial signal coordination control. Aiming at the minimal delay of vehicles at arterial crossings, the paper proposes a mode based on offset optimization for urban arterial traffic signal coordination control using constraint conditions of relative offset by analyzing the two-way rules of traffic delay at the intersections.Base on the offset optimization model built in this paper, we discuss layering control concept of arterial traffic control parameters, which will eliminate couplings of input parameters with output. Moreover, dynamic coordination control of urban arterial traffic signal is analyzed, and computed expressions of control parameters are given.The theories of adaptive genetic algorithm (AGA) are studied in this paper, and its C++ codes are achieved. Meanwhile, experimental software of urban arterial traffic signal coordination control is designed by using visual c++ 6.0. Then experimental studies of urban arterial traffic signal coordination control model built in this paper are completed through using the above experimental software, then get the optimal offsets and arterial delay, and compare its performance with one of timing control.Results show the arterial delay is obviously less than one in timing control, and there is little impact to delay of arterial intersections in slip directions. Which proves the validity of the model built in this paper, and the fast speed of AGA could satisfy the real-time demands of offset optimization in urban arterial traffic dynamic coordination control.