Performance evaluation of transit signal priorities on bus transit corridor based on data envelopment analysis

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جزئیات بیشتر

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۲۰۲۱

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scopus – master journals – JCR

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۴٫۲۷۶ در سال ۲۰۲۰

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۲۶ در سال ۲۰۲۱

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Performance evaluation of transit signal priorities on bus transit corridor based on data envelopment analysis


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Performance evaluation of transit signal priorities on bus transit corridor based on data envelopment analysis

Abstract

Transit Signal Priorities (TSP)  is a common control strategy at signalized intersections in Bus  Transit Corridors (BTC). Performance pre-evaluation for  the TSP is  usually based on simulation assessment models and analytical assessment models in  order to delineate the scope of TSP projects. However, existing assessment models tend to ignore the overall systematic evaluation. This  paper proposes a  new method based on  data envelopment analysis (DEA) model to evaluate the system-wide effect of TSP on a BTC, considering prob- ability of triggering TSP and the influence of coordinating signal control. Numerical exper- iments based on  the bus operation data from Xizang Road,  Shanghai, China are  presented to demonstrate effectiveness of the proposed evaluation model. Investment strategy based on  the proposed evaluation model on  ۲۰  signalized intersections are  discussed under dif- ferent budget limits.

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  1. Introduction

Urban bus  transit corridors (BTC) generally carry a huge volume of urban traffic running several bus  routes. For example, Xizang Road in Shanghai (China), which has  been operated for three years, is a typical BTC with a bus-only lane. The dynamic signal control system of the BTC has  been optimized through several stages of adjustment. The basic parameters, like phases, cycle  time, effective green time and offsets of the control system are  determined by a series of theoretic analysis in actual cases (Tobita and Nagatani, 2013, Yuan  et al., 2014, Zhu and Chi, 2008, Stevanovic et al., 2015, Zhao  et al., 2016). However, the operation efficiency of the BTC are  not  satisfying. The speed of buses passing through the BTC is still  low.  Thus,  bus  pri- ority management is proposed in the transportation planning phase to improve the bus  operation efficiency without chang- ing  the basic parameters and signal phases of the signal control plan.

Principle and synergy of transit signal priority (TSP) strategies in traffic signal control models has  been fully elaborated in previous studies (Ibarra-Rojas et al., 2015, Dion et al., 2003, Liu et al., 2008). Authorities are  still  cautious about TSP projects because of the enormous capital investments in the transit and communication infrastructure. Therefore, pre-evaluation for performance of TSP at different candidate intersections is imperative. In previous studies of BTC evaluation models, simula- tion is conducted on appropriate road sections set with a bus-only lane to obtain the assessment of operation efficiency (Ying

et al., 2008, Radwan and Benevelli, 1983, Hounsell et al., 2004, Papageorgiou et al., 2009). However, the assessments obtained in simulation are limited by the overlapping ranges of various bus  routes, the variable arrival rates of buses, and the influence of existing signal plan offset between intersections. In addition, most studies focus on the effects of different strategies under various traffic volumes rather than the relative efficiency of TSP deployment at different intersections along the BTC. Some research has  been focused on the model formulation under the condition that TSP is triggered (Dion  et al., 2004, Zhao-Cheng et al., 2010, Ma  and Yang,  ۲۰۰۸, Zhang et al., 2009). Indeed, TSP is not  triggered at some specific intersections due to  the arrival rate of buses and the signal plan offset (Liu et al., 2008, Skabardonis and Christofa, 2011, Abdy  and Hellinga, 2011, Zuo  and Yang,  ۲۰۱۳). Hence, the  identification of  the most suitable intersections for  launching TSP projects remains unsolved.

This study aims to propose a new approach based on data envelopment analysis (DEA) for relative performance evalua- tion of TSP projects on different intersections. DEA is one  of the most popular and applicable methods in construction of com- posite indicators (Despotis, 2005a, Cherchye et al.,  ۲۰۰۷, Despotis, 2005b), which evaluates the relative performance of decision making units (DMUs)  by  non-parametric linear programming models. In this paper, probability of triggering TSP and the influence of coordinating signal control is considered as  the inputs and outputs of DEA model, which comparing the performance of all candidate intersections to facilitate the implementation of TSP projects at suitable intersections under different budget limits. A case  study of Xizang Road  (Shanghai) demonstrates the effectiveness of the proposed method.

The remainder of this paper is organized as follows. Analytical models for different factors associated with performance evaluation of launching TSP are  developed in Section 2. Section 3 presents a DEA model for comprehensive assessment for the analytical factors obtained in Section 2 to determine the priority for different intersections. Numerical examples in BTC Xizang road in  Shanghai is  described in  Section 4.  Finally, conclusions and suggestions for  future research are  given in Section 5.

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