| Abstract |
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 including 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. |
Draft Article