01334183

Component

Good bus route planning can not only improve passenger satisfaction, but also increase the number of passengers using public transportation. For a metropolitan city, route planning can relieve problems of traffic congestion and shortage of parking spaces. This study proposes a simulated annealing (SA)-based circular route optimization procedure to optimize the driving route for buses. When given a transport network structure in which the passenger demand for each link and the travel time of buses are all known, a circular route can be found using the method in such a way that the buses can serve more passengers during the same travel time. The experimental results show that compared with other methods, the proposed method can find better bus routes in shorter search times.

01329018

11-0154

English

12p

2011

Transportation Research Board 90th Annual Meeting

DVD

Figures (6) ; References (19) ; Tables (1)

Algorithms; Bus routes; Optimization; Public transit; Shuttle buses; Simulated annealing; Traffic congestion; Travel time

Route planning

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2011 Paper #11-0154

TRIS, TRB

Feb 17 2011 5:20PM