The Combining Models Of Traffic Control And Guidance With Arrival Time Constraint

This dissertation studies around the traffic assignment of traffic network in the combination of traffic control and vehicles route guidance, which is the core theories in the Intelligent Transportation System. Genetic Algorithm (GA) is introduced into resolution of the traffic network equilibrium, and the suitability of the model is significantly improved.The background of this study is stated in the first chapter, and urban traffic condition and ITS study condition were analyzed. The importance of study, study object and the main content were put forward.In the second chapter, the theories of traffic control and route guidance were introduced. Then, the relationship between them is also discussed. The development of urban traffic dynamic assignment models were analyzed and evaluated.In the third chapter, based on the preceding research results, a new traffic network equilibrium assignment model with arrival time constraints is proposed, which also considers the influence of the maximum volumes of arcs. It points out that the arrival time constraints can be considered as both time constraints and traffic control constraints. A genetic algorithm is proposed for solving the model in discrete-time version. Finally, a simple network is considered which contains three arcs and two origin-destination pairs.In the next chapter it extends the model to a complex traffic network which contains many OD pairs and paths. It also points out that the schedule delay can be a periodic time period. Another numerical example is given at the chapter's end.In the chapter five, based on the fomer works, a model combined with Webster's delay formulation is presented. The coorperation of assignment policy and signal control is considered in this model. A numeral example is presented at the end of this chapter.Finally, the paper concludes with the main research fruits and a discussion on possible future extension of the study.