A Novel Method for Travel System Patterns

Authors

1 MSc., Research Scholar, Sustainable Urban Transport Research Centre (SUTRA)/, Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Malaysia

2 Postdoc Researcher, Sustainable Urban Transport Research Centre (SUTRA)/, Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Malaysia

3 PhD Student, Sustainable Urban Transport Research Centre (SUTRA)/, Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Malaysia

4 Professor, Sustainable Urban Transport Research Centre (SUTRA)/, Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, Malaysia

Abstract

Due to population growth in urban areas, especially in the capital cities in developing countries, the use of private vehicles are increasing, leading to many problems such as congestion, pollution, noise, long travel time, high travel cost and more side effects. In such circumstances government policy would encourage people to use public transportation. In the meantime, employing the Intelligent Transport System consisting of two parts including private sector and public sector by predicting the dynamic travel time, can help the travelers to be aware of the latest traffic information. To achieve this objective, the calculation of traffic flow, demand of passenger and transport means availability are vital. The double constraint gravity model is a crucial methodology for predicting the origin destination matrix. This paper represents a Travel System Pattern (TSP) based on proposed methodology. TSP tries to let the travellers and authority know about the best travel route with considering the shortest dynamic travel time information. For this purpose the travellers are able to be aware of the travel time and other details of travel route via the internet or SMS system. Hence, a case study based on an actual public and private network in Kuala Lumpur, Malaysia is chosen as a case study area. The result shows that the accuracy of the proposed method indicated reasonable R2 of 0.926 for the evening rush traffic period. This indicates that the TSP developed in the present study is a reliable and suitable tool to guide the travellers and companies.

Keywords


- Austroads (1993) “Roundabouts guide to traffic engineering practice, Part 6., Association of Australian State Road and Transport Authorities”, Sydney.

- Dewitt, W. and Clinger, J. (2000) “Intermodal freight transportation. <http://www.nationalacademies.org/trb/ publications/millennium/00061.pdf>

- Hafezi, M. H. and Ismail, A. (2011a) “Study behaviour of passengers on transit operation”, Journal of Applied Mechanics and Materials: Advanced Transportation, Vols. 97-98 , pp. 1154-1157.

- Hafezi, M. H. and Ismail, A. (2011b) “Interaction between bus stops location and traffic on bus operation”, Journal of Applied Mechanics and Materials: Advanced Transportation, Vols. 97-98 , pp. 1185-1188

- Hafezi, M. H., and Ismail, A. (2011c) “Balancing between headway and frequency scheduling for bus service”, Journal of Applied Mechanics and Materials: Advanced Transportation, 97-98, pp. 669-673.

- Hafezi, M. H. and Ismail, A. (2012) A Comparative Analysis of Fare Collection System on Bus Operations, Journal ofApplied Sciences. Volume 12, Number 4, pp.393-397.

- Ismail, A. and Hafezi, M. H. (2011) “Analyzing of bus operation to obtain regular frequency for Neo-mission”, Australian Journal of Basic and Applied Sciences, 5(11): pp.1275-1284.

- ManWo, N. and Waller, S. T. (2012) “A dynamic route choice model considering uncertain capacities”. Journal of Computer-Aided Civil and Infrastructure Engineering. 27(4): pp.231-243.

- Pelletier, M. P., Trépanier, M. and Morency, C. (2011)  “Smart card data use in public transit: A literature review”, Transportation Research Part C: Emerging Technologies 19(4): pp.557-568.

- Rahmat, R. A. A. (1994) “Model pengangkutan bandar: Pendekatan secara teori dan amali. Dewan Bahasa dan Pustaka. Kuala Lumpur.

- Shokri, F., Ismail, A. and Rahmat, R. A. (2010) “Route choice decision based on real time information”, Journal of Applied Science, Vol.10, No.19, pp. 2304-2309. 

- Shokri, F., Chu, M.Y. Mokhtarian, H. R. Rahmat, R. Aand Ismail, O. K. (2009) “ A best route based on gueleconomy”, European Journal of Scientific Research, Vol.32, No.2 , pp.177-186.

- Torbjörn, Larsson, Lundgren , Jan T. and Peterson, Anders (2010) “Allocation of link flow detectors for origin-destination matrix estimation—A comparative study”, Journal of Computer-Aided Civil and Infrastructure Engineering, Volume 25, Issue 2, pp. 116–131.