Urban Traffic Signal Multi-Object Adaptive Control

With the rapid development of cities and the prevalence of cars, the situation of urban traffic congestion is getting worse, which leads to massive pollution, economic waste and energy consumption. Traffic has become a general difficult problem which puzzles the whole world. In order to solve the traffic problem, we should not only rely on the building of urban road and basic infrastructure, but also develop advanced and effective traffic signal control system so as to fully release the vast potential of the current transportation network.While SCATS and SCOOT are the world's most widely used among the traditional urban traffic signal control systems, RHODES developed by the University of Arizona is a typical example of the new generation of adaptive control system. Based on the study of the typical systems all mentioned above, we found two deficiencies of the current traffic control systems: firstly, most of the control systems are not adaptive but reactive and responsive instead; secondly, most of the control systems lack the multi-objective adaptive control method targeting at the junction with special geographical structure and coordinating the interest between different traffic participants.This article first made an in-depth study of the traditional and new-generation control systems from the perspective of control principle by comparing the control principle of SCOOT, SCATS and RHODES. Then the methods of traffic control were discussed and the two major characteristics of adaptive control were clarified. What followed was the analysis of the multi-objective problem in traffic signal control, such as the control of intersection with particular structure and the control of different traffic behavior participants. Hence we proposed the multi-objective adaptive control method, built the delay and queue model of the intersection and finally got the optimal phase sequence for the a single junction using multi-objective particle swarm intelligence algorithm.At the end, via the multi-object adaptive phase optimization control method successfully solving the single intersection with particular geography structure problem and the bus signal priority considered the impact to private cars, the simulation experiments on the VISSIM simulation platform verified the effectiveness of the method.