Microscopic Simulation Approach to Effectiveness Analysis of Transit Signal Priority for Bus Rapid Transit

Author(s):  
Xumei Chen ◽  
Lei Yu ◽  
Lin Zhu ◽  
Liu Yu ◽  
Jifu Guo
Author(s):  
Peter Martin ◽  
Nathan Landau

The San Pablo, California, Rapid bus service was planned 17 years ago and was implemented 13 years ago. The Rapid service, which did not include exclusive lanes, was an upgrade of previous limited-stop bus service linking the East Bay communities of San Pablo, Richmond, El Cerrito, Albany, Berkeley, Emeryville, and Oakland. The 13 years of service provide some lessons for other communities that are considering moderate (or less than full) service upgrades to bus rapid transit. The service was quick to implement and low in cost, but it has not provided the anticipated ridership benefits. The upgrades apparently were not significant enough to attract ridership increases. The transit signal priority element was not well maintained and thus has not provided the desired travel time and reliability benefits. AC Transit—which operates the service—and the corridor communities are currently reexamining further upgrades to the service. This Rapid service is well used, but more pronounced improvements are needed to fulfill ridership potential in the corridor. The lessons learned are that minor upgrades can be easily implemented, but noticeable changes are required to achieve significant ridership gains.


2013 ◽  
Vol 30 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Yuanzhou Yang ◽  
Baohua Mao ◽  
Shaokuan Chen ◽  
Shuang Liu ◽  
Mingjun Liu

2015 ◽  
Vol 2533 (1) ◽  
pp. 118-123 ◽  
Author(s):  
Nicolae Duduta ◽  
Asis Subedi

Platform overcrowding is a very common but relatively poorly understood occurrence at most bus rapid transit (BRT) systems in cities in the developing world. Most literature on BRT capacity focuses on vehicle throughput for different types of lane and station configurations; relatively little is known about how different station layouts handle specific volumes of boarding and alighting passengers. In this paper, this gap in knowledge was addressed by building a microscopic simulation model to test the ability of a typical Latin American BRT station (median, high-platform, one bus bay per direction) to handle various volumes of passengers under different scenarios. With this modeling exercise, areas in a station most likely to experience overcrowding were first identified: the median refuge island at the main entrance and the turnstiles. The station performance at those critical points was then evaluated for different passenger volumes, with mainly pedestrian density (persons/m2) as an indicator. Results indicated a pedestrian capacity range for a typical BRT station and also quantified the effect of friction between pedestrians entering and leaving the station. Finally, a regression based on the simulation results was estimated and used to develop a predictive equation for crowding as a function of passenger volumes and direction. The results can help BRT planners better adapt their station designs to forecast passenger volumes and ensure that they provide an adequate level of service.


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