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作 者:蔡家明[1] CAI Jia-ming(College of Automobile Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
机构地区:[1]上海工程技术大学汽车工程学院,上海201620
出 处:《内燃机与配件》2019年第5期180-181,共2页Internal Combustion Engine & Parts
摘 要:基于综合考虑停车服务效率及停车费率的基础上,提出和构建了停车行为选择模糊控制器,并结合停车场车流分布模型对停车场车流分布实例进行仿真分析研究。由仿真结果显示,所构建的停车行为选择模糊控制器,能较好地帮助驾车者快速、实时地对区域停车场的停车行为进行决策。此外,仿真结果显示高停车费率对于停车行为选择有较大的限制影响。Based on the comprehensive consideration of parking service efficiency and parking fee rate, a fuzzy controller of parking behavior selection is proposed and constructed, and a parking flow distribution example is simulated and analyzed by combining the parking flow distribution model. The proposed parking behavior selection fuzzy controller can help drivers to make decisions on parking behavior of regional parking lot quickly and in real time. In addition, the simulation results show that the high parking rate has a greater impact on the choice of parking behavior.
分 类 号:U491.7[交通运输工程—交通运输规划与管理]
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