基于智能体模拟的浮动式停车价格实施效果研究

在城市机动车保有量快速增长的背景下，制定合理的停车价格对缓解停车难问题具有重要的作用. 基于多智能体的建模方法，结合典型城市商业区停车调查数据搭建仿真环境，通过编程实现停车过程中的行为决策规则，建立浮动式停车价格下的路内停车模拟平台，并对浮动式停车价格的实施效果进行研究. 模拟结果表明，浮动式停车价格策略的实施不仅使路内停车资源的利用更为均衡，区域内车位紧张状况有所缓解，停车寻泊时间有所减少，还提高了周边道路上车辆运行速度. 本研究可以为提高停车效率、缓解区域道路交通拥堵提供一定决策建议.

Effectiveness of Floating Parking Price Based on Multi-agent Simulation

With the rapid growth of urban motor vehicle ownership, formulating reasonable parking price to alleviate the parking problem is increasingly important. Based on parking survey data in urban business district, the multi- agent modeling method is adopted to build a simulation environment. Then behavior decision-making rules for the travelers’parking process are built through programming, and the simulation platform for curb parking under time-varying parking price is established. Finally, the implementation effect of time-varying parking price is analyzed. The findings show that the implementation of the time-varying parking price not only makes the utilization of parking resources more balanced and reduces the cruising time for parking, but also increases the vehicles speed on surrounding roads. The study can provide decision-making suggestions for improving parking efficiency and alleviating regional traffic congestion.