Consider Careful Driving Behavior Of Two-lane Traffic Flow Modeling And Control

In this dissertation, basing on the previous microsopic models, severalimproved models are presented through analyzing typical driving factors in realtraffic, and the corresponding numerical simulations are performed. In addition,the cellular aotomata model is used to investigate the influence of the lanereduction bottleneck under different management measures on the capacity ofroad system from the view of traffic control. The main contents are as follows.I. Basing on the classical STNS model, a traffic cellular automata model forchanging driving rules twice (the TTChange-CA model, for short) on a two-lanehighway is proposed with the consideration of changing driving rules frequentlyaccording to the different transportation circumstances. Numerical simulationshows that TTChange-CA model describe the real road traffic flow well.II. The clsaaical optimal velocity model is extended to investigate the lanereduction bottleneck. As for two kinds of vehicle (fast and slow), the asymmetricchanging rules in the slowdown section and the lane squeezing behavior at themerging point are intrduced. Under the periodic boundary condition, theinfluence of the fast vehicle ratio, the limited speed and the length of slowdownsection on traffic flow is discussed in detail through numerically simulation. Theresults show that the currents are influenced by the speed limit of the slowdownsection, but not by its length. The relations among the flux, density, headway, etal have obtained under different parameters. Furthermore, the phenomeno of fastvehicle ratio inversion appears in the normal two-lane section and the slowdownsection, which is closely analogous to density inversion.III. Aiming at the typical lane reduction bottleneck, the CA model is used toinvestigate the influence of the different traffic control measurements on theroad capacity. One is the control scheme of first-arrive and first-in (calledscheme1); the other is the periodic control scheme (called scheme2). Thenumerical simulations are performed. The flux, density distribution and theevolution time from congested state to free state under different entering probabilities, deceleration zone length and periods for these two models areobtained. The results indicate that the artificial control is needless under the freeflow; however, under the congested traffic, artificial control will be helpful fordecreasing the congested time, thus, improving the transportation efficiency.The final chapter of this dissertation is devoted to a summary and prospectof further study of the road traffic flow.