Optimization Model And Algorithm Of Urban Traffic Network Considering Environmental Pollution Control

With the development of economy and the improvement of the living standard, the aggravation of traffic motorization degree brings about the air and noise pollution, which has been the one of main pollution sources of urban environment. On the other hand, the urban traffic network design must be considered to reduce traffic pollution which cannot be ignored. Therefore, the organic integration between environmental pollution control and traffic network design from the systemic and all-around perspective, is one of the most urgent and effective methods to solve environmental problems, which is also the main reason of integrated research in this dissertation.The mechanism of environmental pollution control in the traffic network was discussed from the macroscopic view, which provided guidelines and theoretical basis for the following medium-view research. Then, the means of environmental pollution control were put forward based on the symbiosis benefit and balance of supply and demand equilibrium, and the measuring and evaluation of traffic environmental carry capacity were proposed based on symbiosis theory. For more precise controling the traffic environmental pollution, we analyzed on the optimization strategy of traffic emission control and noise pollution control in the urban traffic network from the medium view. Based on analysis of the relation between the vehicles running and environmental pollution, some measures and means were proposed to improve traffic operation efficiency and to ease traffic environmental pollution.The discussion range of this dissertation is limited to the management and control measures of environmental pollution in traffic network system based on the static traffic allocation with the fixed traffic demand. In order to analyze and solve the above problems, mathematical programming, intelligent algorithm, and computer simulation were put forward together in this dissertation. The main content of this dissertation are as follows:(1) Firstly, we discussed the domestic and foreign research status, including the road network optimization method considering the environmental factors, vehicle emission model, noise prediction model, methods of environmental pollution control and the particle swarm algorithm. Based on these, the current research problems were summarized and proposed in this dissertation. And according to above problems, the scope, method, contents and technical route of this dissertation were put forward. (2) In this dissertation, we discussed the theory and methods of urban traffic network and environmental pollution control, including the analysis of urban traffic network equilibrium, bi-level programming models, emission models and noise prediction models, which provided solid theoretical basis for follow-up study.(3) To solve complex traffic network optimization problems the particle swarm optimization algorithm was improved by introduced with the immune selection, chaos search, multi-population evolution and adaptive breeding, and the adaptive breeding chaotic particle swarm optimization algorithm based on immune selection was put forward. Then the example of traffic network optimization and the performance simulation test of aiming at the characteristics of traffic network were discussed in this dissertation, which proved that the improved algorithm was more of validity, in some aspects such as speeding up the convergence, enhancing diversity of the particles and preventing precocious etc, which provided new solution to solve the problems of complex traffic network optimization models.(4) The symbiosis theory and supply-demand balance principle were introduced into environmental pollution control of the traffic network, and we discussed the urban traffic symbiosis network which composed of three elements including symbiotic unit, symbiotic pattern and symbiotic environment, and proposed environmental pollution control means based on symbiosis benefit and supply-demand balance. And we expounded the conception, scopes of functions, objectives and realization ways in the further discussion. Then the key factors of environmental pressure were selected by using the DPSIR model from drive force, pressure, state, impact and response, which are including the land use, energy consumption, emission and environmental pollution. Thus we defined the connotation and denotation of environmental carrying capacity of urban traffic, and built the measurement and evaluation models, which were benefit to providing the decision-making basis of control urban vehicle scale and providing measurement means of constraint conditions of environmental threshold for urban traffic network optimization from the macroscopic perspective view.(5) In the guidance of symbiosis benefit theory, some means and strategies of combinatorial optimization were proposed to control emission of the urban traffic network Firstly, the emission models were been established considering the running condition and signal timing, and the influence on the idle time and impedance function come from improving the section traffic capacity and signal timing. Based on this, the bi-level programming model was put forward based on the road section widening expense, and an example simulation was analyized and solved with above models by using ICPSO algorithm, and finally summarized and brought forward corresponding measures.(6) In the guidance of symbiosis benefit theory, we proposed the noise pollution model considering the heavy truck scale and the layout of nearby-street buildings, based on this, we proposed the bi-level programming model with the ideal of noise division control, and analyized and solved an example simulation with above models by using ICPSO algorithm, finally some conclusions and measures were put forward according to above states.These studies may be benefit to providing the decision-making basis of reasonable strategies for traffic management and environmental control measures, and to providing quantitative method for urban traffic planning based on environmental pollution control, and also providing good means for measuring the advance and reasonability of ITS running in urban traffic network.