Journal of Advanced Transportation

Cover image for Vol. 48 Issue 7

Edited By: S. C. (Chan) Wirasinghe and William H. K. Lam

Impact Factor: 1.878

ISI Journal Citation Reports © Ranking: 2013: 10/32 (Transportation Science & Technology); 17/124 (Engineering Civil)

Online ISSN: 2042-3195

Most Cited

Read the most cited articles published since 2009

Cellular automata model for heterogeneous traffic
Ch. Mallikarjuna, K. Ramachandra Rao

Cellular Automata (CA) modelling is extended to study the heterogeneous traffic observed in developing countries. In heterogeneous traffic, the physical and mechanical characteristics of different vehicles vary widely which in turn leads to complex traffic behaviour resulting in no-lane discipline. This nature of the heterogeneous traffic is modelled with the help of an improved discrete CA model. A detailed description of the methodology used in developing the basic structure of the CA model is presented and the modified methodology is used to generate different traffic scenarios. Read the entire abstract.

Volume 43, Issue 3, pages 321–345, July 2009

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Private road competition and equilibrium with traffic equilibrium constraints
Hai Yang, Feng Xiao, Haijun Huang

Toll road competition is one of the important issues under a build-operate-transfer (BOT) scheme, which is being encountered nowadays in many cities. When there are two or more competing firms and each firm operates a competitive toll road, their profits are interrelated due to the competitors' choices and demand inter-dependence in the network. In this paper we develop game-theoretic approaches to the study of the road network, on which multiple toll roads are operated by competitive private firms. The strategic interactions and market equilibria among the private firms are analyzed both in determining their supply (road capacity) and price (toll level) over the network. Read the entire abstract.

Volume 43, Issue 1, pages 21–45, January 2009

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The multi-actor, multi-criteria analysis methodology (MAMCA) for the evaluation of transport projects: Theory and practice
Cathy Macharis, Astrid de Witte, Jeroen Ampe

In this paper the multi-actor multi-criteria analysis (MAMCA) method to evaluate transport projects is presented. This evaluation method specifically focuses on the inclusion of qualitative as well as quantitative criteria with their relative importance, defined by the multiple stakeholders, into one comprehensive evaluation process in order to facilitate the decision making process by the different stakeholders. The MAMCA methodology is introduced by an overview of other evaluation methods for transport projects in the past and is illustrated by means of two practical cases. Read the entire abstract.

Volume 43, Issue 2, pages 183–202, April 2009

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Multi-criteria analysis procedure for sustainable mobility evaluation in urban areas
Vânia Barcellos Gouvêa Campos, Rui António Rodrigues Ramos, Denise de Miranda e Silva Correia

This paper proposes a procedure to evaluate sustainable mobility in urban areas. A set of indicators according to three dimensions of sustainability, i.e., environment, economics, and social aspects, are proposed to evaluate mobility in urban areas. The sustainable mobility evaluation is based on an Index calculated through a weighted multi-criteria combination procedure. A group of specialists in Brazil was involved in the development of the Index by defining the weights for the criteria. Read the entire abstract.

Volume 43, Issue 4, pages 371–390, October 2009

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Macroscopic modeling of lane-changing for two-lane traffic flow
Tie-Qiao Tang, S. C. Wong, Hai-Jun Huang, Peng Zhang

We propose a macroscopic model of lane-changing that is consistent with car-following behavior on a two-lane highway. Using linear stability theory, we find that lane-changing affects the stable region and the propagation speeds of the first-order and second-order waves. In analyzing a small disturbance, our model effectively reproduces certain non-equilibrium traffic-flow phenomena—small disturbance instability, stop-and-go waves, and local clusters that are affected by lane-changing. Read the entire abstract.

Volume 43, Issue 3, pages 245–273, July 2009

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IF-EM: An interval-parameter fuzzy linear programming model for environment-oriented evacuation planning under uncertainty
Qian Tan, Guo H. Huang, Chaozhong Wu, Yanpeng Cai

The processes and factors involved in evacuation activities are associated with a variety of uncertainties, posing major challenges to evacuation planners. This study represents an attempt to employ inexact optimization techniques for addressing uncertainties in evacuation practices. In this study, an interval-parameter fuzzy evacuation management (IF-EM) model is developed for supporting environment-oriented evacuation management under uncertainty. Through IF-EM, uncertainties in the model's stipulations and coefficients which are expressed as fuzzy sets and interval numbers can be directly communicated into the optimization process, greatly enhancing the robustness of the optimization system. Read the entire abstract.

Volume 45, Issue 4, pages 286–303, October 2011

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Designing robust rapid transit networks with alternative routes
Gilbert Laporte, Angel Marín, Juan A. Mesa,Federico Perea

The aim of this paper is to propose a model for the design of a robust rapid transit network. In this paper, a network is said to be robust when the effect of disruption on total trip coverage is minimized. The proposed model is constrained by three different kinds of flow conditions. These constraints will yield a network that provides several alternative routes for given origin–destination pairs, therefore increasing robustness. Read the entire abstract.

Volume 45, Issue 1, pages 54–65, January 2011

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Hybrid model for prediction of bus arrival times at next station
Bin Yu, Zhong-Zhen Yang, Kang Chen, Bo Yu

Effective prediction of bus arrival times is important to advanced traveler information systems (ATIS). Here a hybrid model, based on support vector machine (SVM) and Kalman filtering technique, is presented to predict bus arrival times. In the model, the SVM model predicts the baseline travel times on the basic of historical trips occurring data at given time-of-day, weather conditions, route segment, the travel times on the current segment, and the latest travel times on the predicted segment; the Kalman filtering-based dynamic algorithm uses the latest bus arrival information, together with estimated baseline travel times, to predict arrival times at the next point. Read the entire abstract.

Volume 44, Issue 3, pages 193–204, July 2010

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Severity of urban transit bus crashes in Bangladesh
Upal Barua, Richard Tay

Unlike in developed countries where buses are a relatively safe mode of transport, there is a significant safety concern in many developing countries like Bangladesh regarding transit buses. Nevertheless, few studies have examined the factors contributing to the number or severity of bus crashes. Using the ordered probit model on bus crash data from 1998 to 2005 in Dhaka, Bangladesh, our study shows that there is a general increase in the severity of transit bus crashes over this period. Read the entire abstract.

Volume 44, Issue 1, pages 34–41, January 2010

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Multiple criteria and fuzzy based evaluation of logistics performance for intermodal transportation
Shinya Hanaoka, Pichet Kunadhamraks

This paper presents a framework to evaluate the logistics performance of intermodal freight transportation. Fuzzy set techniques are applied to assess the logistics performance within the decision process of freight operators. Using a fuzzy-based approach, fuzzy-AHP is applied to assess the criteria by different judgment procedures. Consequently, fuzzy-MCDM is used to assess operators' perception of the logistics performance via proper assignment of numerical scores. Read the entire abstract.

Volume 43, Issue 2, pages 123–153, April 2009

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