scholarly journals Evaluation of Transit Signal Priority for Bus Rapid Transit in Heterogeneous Traffic Flow

2021 ◽  
Vol 28 (6) ◽  
2013 ◽  
Vol 30 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Yuanzhou Yang ◽  
Baohua Mao ◽  
Shaokuan Chen ◽  
Shuang Liu ◽  
Mingjun Liu

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.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Wu Lan ◽  
Chen Xuewu ◽  
Lu Tao

Different configurations of Bus Rapid Transit (BRT) system may cause different additional riderships. In this paper, in terms of network traffic equilibrium assignment principle, the additional riderships estimation model based on Variational Inequality (VI) model is presented. The bus frequency is related to variables including the travel time, the residence time in terminals, and the dwelling time at the stops. The additional riderships are translated into network additional traffic flow firstly. Given the bus frequency, VI model can be turned into Stochastic User Equilibrium (SUE) model to calculate the other variables. The similarity diagonalization method is used to calculate the elastic bus frequency and finally the network additional traffic flow can be computed. The additional riderships under different configurations of BRT system are compared in the numerical test. The results show that the additional riderships under different configurations have large differences and occupy a high percentage of the total ridership.


2002 ◽  
Author(s):  
J. H. Solomon ◽  
P. Gonzalez-Mohino ◽  
F. Amirouche ◽  
D. Zavattero

Traffic congestion in major cities is a major problem which is growing steadily every year. It is clear that something must be done to curb this trend. Several different concepts are being investigated which can be used to minimize congestion and improve the traffic flow. Automation of the bus system represents one of those methods, and is the focus of this paper. Currently, public opinion of the quality of bus services is generally not perceived as adequate. Buses generally travel about 60% of the speed of other vehicles, and more often than not adherence to schedule is difficult to achieve. The consequence is that people choose to take personal transportation instead, causing increased congestion. Automation seeks to address this issue by offering decreased travel times, increased schedule adherence, and greater overall convenience compared to the current bus systems. The concept of automation is based on expanding upon the ideas of Bus Rapid Transit (BRT) and making the system as efficient as possible.


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