Urban traffic signal control system (UTSCS) has been widely applied in the world. However, there is still no effective method to evaluate its performance and reliability. The main idea of ATS is to obtain deep insight of vehicle movement and traffic evolution by extracting basic rules of individual vehicle and local traffic behavior and analyzing the complex phenomena emerged from the interactions among individuals, and furthermore, grow an artificial system to “substitute” the real traffic system in the laboratory. ATS aim to explore feasible approaches to reproduce traffic environment in the laboratory, thus they provide us a novel idea to evaluate UTSCS. The focus of this thesis is to study how to evaluate UTSCS based on ATS. The proposed evaluation method is composed of two steps. The first step is to construct one specific ATS. Then in the second step, we evaluate one UTSCS by directly applying it in the virtual traffic environment in ATS. Using this evaluation method, we can get more comprehensive and reliable result by designing evaluation experiments in many different traffic scenes and, if necessary, repeating the experiments several times. The evaluation experiments are very hard, if not impossible, to be carried out using traditional evaluation method. Main works done by this thesis are as follows: Firstly, we proposed the method and architecture to evaluate UTSCS based on ATS. We also analyzed the features and advantages of our method in two aspects, which are generating travel demand based on activities and designing computational experiments using rules. Secondly, we studied how to establish travel demand model in ATS. The process is composed of three stages, which are classifying population, establishing one whole day’s action plan of individual and generating travel demand based on individual activities. Thirdly, we studied how to design experiments in ATS to evaluate UTSCS. We designed the rule sets of three types of experiments to simulate traffic scenes in adverse weather, traffic accident, and economic activities, respectively. We also designed the interactions between UTSCS and ATS in the evaluation experiments. Finally, we performed evaluation experiments to verify the feasibility of our method. We established one specific ATS and take it as the evaluation platform. Then we demonstrated how to carry out evaluation experiments under normal traffic condition, traffic accident condition, newly-built large commercial center condition, and adverse weather condition.
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