Impacts of Various Parameters on Transit Signal Priority Effectiveness

Ngan, V; Sayed, Tarek; Abdelfatah, Akmal

doi:10.5038/2375-0901.7.3.4

Cited by 67 publications

(43 citation statements)

References 6 publications

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“…In order to decrease bus delay at intersections and improve reliability of transit system, a handful of studies have proposed transit signal priority (TSP) strategies and documented the benefits of TSP implementations [4][5][6]. These studies on signal priority strategies can be broadly divided into three categories: passive priority strategy; active priority strategy and real-time priority strategy; and various methodologies including experimental, simulation-based or theoretical analysis methods.…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of an Economic-Driving Assistance Program for Transit Vehicles

Xie

Han

2012

Energies

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This paper focuses on development and evaluation of an economic-driving assistance program for transit vehicles (EDTV) which can minimize energy consumption, air pollution emission of buses, and improve the level of service of transit system as well. Taking advantage of the latest advances in information and communication technologies, the EDTV system can provide bus drivers with optimal recommended bus holding times at near-side bus stops and dynamic bus speed to adapt to the real-time traffic control plan at downstream intersections. In order to address the impacts of the stochastic variation of bus dwell time, the total link between adjacent intersections is divided into three parts: upstream of bus stop part; bus stop part; and downstream of bus stop part. The methods for calculating recommended parameters, including bus holding time and bus speed in each of the three parts are proposed based on real-time bus status and signal status at downstream intersections. A VISSIM-based simulation platform was designed and used for simulating and evaluating the proposed EDTV system. Extensive experimental analyses have shown that the proposed EDTV system can improve the performance of a transit system in terms of reducing fuel consumption, air pollution emissions and level of service of the transit system.

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Section: Introductionmentioning

confidence: 99%

Development and Evaluation of an Economic-Driving Assistance Program for Transit Vehicles

Xie

Han

2012

Energies

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“…VISSIM© (PTV, 2011) is one of the most widely used microscopic traffic simulator which was developed initially for European traffic conditions and is now finding increasing applications in developing countries such as India (Bains et al, 2012;Mathew & Radhakrishnan, 2010;Siddharth & Ramadurai, 2013). VISSIM© has also been successfully employed to evaluate bus priority impacts under different scenarios (Dale et al, 2000;Kamdar, 2004;Ngan et al, 2004;Zhou & Gan, 2005). In the present paper, VISSIM© 5.40 has been used to model traffic operations in Indian conditions in order to develop a rational estimate of the impact due to provision of QJL with reference to three representative four-arm isolated signalized intersections in the Kolkata metro city.…”

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confidence: 99%

Micro-simulation based evaluation of Queue Jump Lane at isolated urban intersections: an experience in Kolkata

et al. 2015

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Article Info AbstractKeywords: bus priority queue jump lane signalized intersection VISSIM urban IndiaPoor service quality is one of the major causes for declining share of buses in urban India. Improvement of bus travel time by implementing bus priority measures at intersections is well regarded as an effective instrument to improve bus service by reducing the travel time. However, only a few research works have been reported in the literature on bus priority strategies in Developing countries such as India. This paper documents an experience of using micro-simulation software VISSIM© to evaluate the impact of providing Queue Jump Lane (QJL) as a bus priority strategy for three representative four-arm isolated signalized intersections in Kolkata, India. The study shows that QJL is expected to be beneficial even in a heterogeneous traffic environment that is prevalent in Indian scenario. The effectiveness of QJL is found to be influenced by various factors such as traffic volume, vehicle composition and road geometry. The study encourages further investigations in terms of validation of results based on field implementation of QJL and identification of the domain of applicability of QJL in signalized intersections of urban India. IntroductionThe travel demand in urban India is growing steadily due to rapid urbanization and growth of private vehicle ownership. On the other hand, the scope of augmentation of road infrastructure in urban India is often limited due to physical constraints. As a result there is a growing imbalance between the demand and the supply of road transport which is aggravating congestion and pollution in urban India (Maitra & Sadhukhan, 2013). Public transit has the potential to alleviate the negative externalities and achieve the goals of urban traffic management (Atkins, 2004;Kirchhoff, 1995). It is, thus, necessary to increase patronage for the public transport facilities like bus, metro, etc. Buses are one of the most flexible, space-efficient and cost-effective means of public transport in urban areas (Hensher, 1998;Hess et al., 2005;Mackett & Edwards, 1998). Bus ridership may be improved if the bus is made more efficient by making the journey time comparable to that of cars (Beirão & Sarsfield Cabral, 2007). This can be accomplished by providing proper priority measures to the buses at intersections (Janos & Furth, 2002;Urbanik et al., 2002). Urban development and public transport prioritisation should go hand in hand for ensuring a stable and sustainable road environment in urban India. However, adequate investigation has not been conducted to understand where bus priority should be implemented and what could be the expected benefits in urban Indian scenario.There are several potential issues pertaining to effective implementation of bus priority techniques in Indian scenario. Although, a dedicated bus lane is expected to be an effective priority treatment (Arasan & Vedagiri, 2009), due to lack of road space, a bus lane for the entire route is not a feasible option for most of the In...

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“…Evaluation of TSP has been conducted mainly through these simulation tools. Recent examples of this include the work of Balke et al (2000), Davol (2002), Shalaby et al (2003), Dion et al (2004), and Ngan et al (2004) who used CORSIM, PARAMICS, and VISSIM to evaluate the effectiveness of the early green and the extended green strategy.…”

Section: Introductionmentioning

confidence: 99%