Performance evaluation of transit signal priorities on bus transit corridor based on data envelopment analysis
|نوع نگارش مقاله||
scopus – master journals – JCR
۴٫۲۷۶ در سال ۲۰۲۰
۲۶ در سال ۲۰۲۱
۰٫۹۰۱ در سال ۲۰۲۰
|شاخص Quartile (چارک)||
Q1 در سال ۲۰۲۰
خرید محصول توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود محصول در اختیار شما قرار خواهد گرفت و هر گونه فروش در سایت های دیگر قابل پیگیری خواهد بود.
فهرست مطالب مقاله:
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.
|بخشی از متن مقاله:|
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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