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It is clear that bus rapid transit is a strong contender for the solution of massive traffic congestion faced by many cities across the globe. However, the success or failure of this system will depend on many variables such as service planning, infrastructure, station design, passenger information systems, and integration and access. In this work, we established a computational framework on the basis of the discrete-event system for modeling the bus rapid transit system. This particular development allowed us to cost-effectively evaluate the effects of some of those variables on BRT performance. The results were a few sub-systems that could directly be used to model a typical BRT system. Some limited numerical trials revealed that the developed sub-systems could reasonably reproduce phenomena commonly observed in an actual BRT system.
摘要： 世界范围内，快速公交系统是缓解许多城市交通拥挤问题的有效方法之一.然而，系统的成功与否依赖多种因素，如服务规划、基础设施、车站设计、乘客信息系统及系统的集成和接口等.本文基于离散事件系统，构建了快速公交系统（BRT）的计算机仿真框架.这种方法在评估各种变量对BRT 运行效果的影响时能够节约成本.结果表明，一部分子系统能够直接用于模拟典型的BRT 系统.数值试验证明，开发的子系统能够合理地再现实际BRT 系统中的常见情况.
Journal: Journal of Transportation Systems Engineering and Information Technology - Volume 14, Issue 4, August 2014, Pages 37–45