Author(s)

D. Cai

Abstract

\“Big data” is the buzzword of the day for many industries. However, it does carry with it the opportunity to transform public transit model and ease congestion in big cities. In this paper we try to look into the strengths and drawbacks of Demand Responsive Transit or DRT through a simulation study, to explain why big data plays a critical role to improve its usability, and to describe the solution architecture of a \“real time demand responsive bus transit system” or RTDRBTS which is consisted of 3 modules: trip request and update, master plan and update, and route update. The modules are intended for use in real-time. Results from actual development and evaluation will appear in the near future. Keywords: demand responsive transit, big data, dynamic routing and scheduling, real time trip planning.

Keywords

Keywords: demand responsive transit, big data, dynamic routing and scheduling, real time trip planning.