Abstract
Recent years, traffic congestion is evolved into an urban disease that rejects to the urban development. Besides, it also makes multiples of exhaust pollution. To release this problem, the most effective way is to develop public transport. This paper established a model (PI) of transit priority strategies based on delay, queue length, quantities of wait vehicles, fuel consumption, CO emission, and HC emission. Among them, fuel consumption, CO emission, and HC emission are environment elements that added to this paper for the first time. After that, an evaluation is made based on cellular automata simulation, showing that the efficiency is improved by 17.7 percents when using multi-restrictions transit priority strategies, compared to that without any transit priority strategies.
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