Research On Intelligent Control Methods Of Signal Control In Urban Road Intersection

With the congestion problem of urban road traffic is getting worse and the appeal of humanizedserviceis is becoming higher, reducing per capita delay time is becoming more and more important inthe signal control of urban road traffic. It can not only meet the people travel demand but also savetime to create much more asset. At present, bus priority stategy and pedestrian crossing problemwhich can reflcet the thought of people-oriented have become the hot topics in the field of urban roadtraffic control.The stategy of signal timing at isolated intersection is designed, and then fuzzy control and antcolony algorithm are used to find the optimal signal timing with the consideration of bus prioritystategy and pedestrian crossing problem in this paper.The key contributions are summarized asfollow:1. A traffic signal control method for six-phase intersection is proposed which aims at reducingthe average vehicle delay time and a two-stage fuzzy controller is designed for this method.This method takes into account not only the traffic condition of the current traffic phase butalso the traffic condition of the next phase. The result for the simulation shows that theperformance of this method is superior to that of the timing signal control method.2. A new fuzzy control method for road intersection with bus priority is presented, with theconsideration of the larger average number of the passengers in the bus. This control methodcan effectively reduce the average bus delay time, thus greatly reducing per capita delaytime. Unlike the common fuzzy control method which has three fuzzy modules, the newcontrol method only employs one phase sequence optimization module which can deal withtraffic information of the red phase and the green phase simultaneously. Simulation resultsare presented to show the improved traffic capacity and the effective control of the roadintersection, compared with that of the regular bus priority method and the general fuzzycontrol method.3. Three basic parameters-vehicle delay time, the number of vehicle stops and traffic capacityare considered as the control objectives, and buses and social vehicles are consideredseparately through the introduction of the scale factor of bus priority.The multi-objectiveoptimization model of a single intersection is established, and an improved ant colonyalgorithm is used to solve the model to obtain the best signal timing.Finally, the simulationresults are given to illustrate the effectiveness of the new scheme proposed in this papercompared with the signal timing strategy of the regular bus priority control and the Websteralgorithm. 4. With the consideration of the mixed traffic condition on the actual road and the sameimportance of both pedestrian and vehicle efficiency, the multi-objective optimization modelis established which considers the vehicle delay time, the number of vehicle stops and thecrossing delay time of pedestrians as the control objectives.The model is solved by antcolony algorithm to find the the best signal timing.Finally, simulation results are given toillustrate the effectiveness of the new scheme, compared to the signal timing scheme of thefixed time.With the consideration of bus priority stategy and pedestrian crossing problem, thesingle-objective control method and multi-objective control method are studied for the problem of thesiganl timing at a single intersection, and intelligent control methods are used to obtain the best signaltiming. Simulation results are given to illustrate the effectiveness of the new schemes.