行人过街"类车道隔离"的微观行人仿真模型
Microscopic Pedestrian Simulation Model to Evaluate "Lane-Like Segregation" of Pedestrian Crossing
摘要：
行人环境分析的其中一个目的，是在建议的政策实施前，评估其对行人设施的影响。由于实施成本（即用户成本、施工时间和成本等），实施没有行人分析的政策可能导致非常昂贵的试验和错误。另一方面，使用好的分析工具，可以在分析层面上进行政策的试错。一旦分析可以证明性能良好，则策略的实施是直接的。问题是如何在实施前定量评估政策对行人行为的影响。由于行人的相互作用不能很好地解决使用宏观层面的分析，微观层面的分析是一个选择。然而，微观行人模型的解析解是非常困难的，仿真模型是更实用的方法。为了定量评估政策实施前对行人行为的影响，建立了微观行人仿真模型。该模型是基于物理力，这对每个行人动态工作。为了证明模型的数值分析，行人过街的实验政策进行。仿真结果表明，在平均速率、平均延误和耗散时间方面，靠右行驶策略或车道式隔离策略优于最小车道策略或混合车道策略。
英文摘要：
One of the objectives of the pedestrian analysis is to evaluate the effects of proposed policy on the pedestrian facilities before its implementation. The implementation of a policy without pedestrian analysis might lead to a very costly trial and error due to the implementation cost (i.e. user cost, construction time and cost, etc.). On the other hand, using good analysis tools, the trial and error of policy could be done in the analysis level. Once the analysis could prove a good performance, the implementation of the policy is straightforward. The problem is how to evaluate the impact of the policy quantitatively toward the behavior of pedestrians before its implementation. Since the interaction of pedestrians cannot be well address using a macroscopic level of analysis, a microscopic level of analysis is the choice. However, the analytical solution of the microscopic pedestrian model is very difficult and simulation models are more practical approach. To evaluate the impact of the policy quantitatively toward the behavior of pedestrians before its implementation, a microscopic pedestrian simulation model was developed. The model was based on physical forces, which work upon each pedestrian dynamically. To demonstrate the numerical analysis of the model, an experimental policy on pedestrian crossing was performed. The simulation results showed that the keep right policy or the lane-like segregation policy is inclined to be superior to do minimum or mix-lane policy in terms of average speed, average delay and dissipation time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
