Font Size: a A A

Urban Bus Signal Priority Intelligent Control Algorithm

Posted on:2009-09-30Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhaoFull Text:PDF
GTID:2132360272971667Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Due to the development of the economy in the seven seas,the rapid growth of the population of the city,an widely use of the motor vehicles,most of the cities in the world are faced with tremendous traffic stress.Urban traffic problems such as congestion,hardness of parking are difficult and emphases problem in traffic layout and management.After most experts in urban and traffic layout have made deeply study for these,they consider that restrict private trip mode and encourage public transportation is the just way.BRT systems to establish strategic position.Existing domestic public transportation system for the common shortcomings: the vehicle positioning accuracy is not high enough,no communications in a timely manner;after the break to slow connection speeds,as well as the flexibility to control timing is not high,the overall intersection delay per capita higher.Papers for an appeal,on the intersection signal priority technology has been studied.Based on the use of radio frequency identification technology,"point-positioning" as well as systems based on bus priority fuzzy controller."Point-positioning" as far as possible to ensure that the system can be high-precision positioning of vehicles, communications in a timely manner.Fuzzy controllers to public transport delays and numerical phase line to be lining up for the length of the input to the current phase delay for the green light output,in order to achieve the junction of the total number of delays for at least the goal of optimal control.This article first intersection on a variety of traffic delays and queuing theory,the formula for the delay has done a great deal of study,compared the advantages and disadvantages of a variety of related algorithms,fuzzy control,through in-depth study of traffic flow theory and the theory,put forward a city bus signal Intelligent control algorithm priority.Through the introduction of urban road traffic control system and control signals traffic control system of classification,combined with the traffic flow control theory, the use of adaptive traffic signal control system and a single point of control to reduce the travel time delays,accidents,and greatly enhanced The efficient use of road transport facilities.By introducing the common existing public transport system,the advantages and disadvantages of testing,combined with public transport Priority Signal Control Strategy,mutatis mutandis,Beijing has built Bus Rapid Transit case,based on the use of radio frequency identification technology,"point-positioning".The system has a GPS positioning system commonly used in other testing and do not have a lot of advantages.Has a good direction and distance to identify adjustable.No road construction,low cost and simple on-board equipment.Can be two-way data communications,can carry more abundant.In order to overcome the transit priority signal from time to time flexible enough to control the shortcomings of public transportation in order to raise the value of delayed and the phase-line to be lining up for the length of the input to the current phase delay for the green light output,in order to achieve the junction of the total number of delays for at least the goal of optimal control Bus priority of the fuzzy control algorithm.The algorithm to the "average delay" as the goal of optimizing bus priority,taking into account traffic delays as a priority objective of public transport vehicles as well as in the number of passengers on the bus late level of in-depth discussions.In summing up the results of previous studies on the basis on how to be considered in the line of vehicles and community buses running behind schedule,the degree of two factors on the basis of the implementation of bus priority fuzzy control in detail,the corresponding algorithm,the corresponding fuzzy control Matlab6.5-use and simulation,the simulation results show that the fuzzy algorithm,fuzzy control algorithm than the number of delays from time to time under the control of the delay in the average number of low 26.6 percent.
Keywords/Search Tags:ITS, public transit priority fuzzy controller, fuzzy logic, man average delay, phase, Computer Simulation
PDF Full Text Request
Related items