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Its: Traffic Baseline Information Obtained Using Probe Cars Is the Key to Address Metro Manila Traffic Congestion

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Its: Traffic Baseline Information Obtained Using Probe Cars Is the Key to Address Metro Manila Traffic Congestion
Proceedings of the 17th Annual Conference of the Transportation Science Society of the Philippines (2009)

ITS: Traffic Baseline Information Obtained Using Probe Cars is the Key to Address Metro Manila Traffic Congestion
Reigna Jewel Ritz M. MACABABBAD Graduate Student Institute of Civil Engineering College of Engineering University of the Philippines Diliman, Quezon City E-mail: rjmmacababbad@gmail.com Jose Regin F. REGIDOR, Dr. Eng. Associate Professor Institute of Civil Engineering College of Engineering University of the Philippines Diliman, Quezon City E-mail: r.regin@gmail.com

Abstract: Intelligent Transportation Systems (ITS) technologies can supplement construction-based methods to improve the capacity of existing transportation systems. ITS then, presents viable solution to traffic congestion problems rather than focus only on the intensive road infrastructure developments and improvements. Baseline traffic information such as speed, and travel time along road networks, a fundamental knowledge-based resource used in traffic management, assessments and planning, can be obtained only through sustainable data collection system. Examination of ITS technologies shows that probe car survey system is a sustainable data collection method to gather real-time and historical traffic information. Key Words: ITS, probe car system, sustainable data collection system

1. INTRODUCTION 1.1 Background of the Study A concept on Intelligent Transportation Systems (ITS) introduced in the 1990s which has the goal of resolving road transportation issues such as traffic accidents and congestion through application of information and communication technologies is nearing its maturity stage in developed countries like Japan, United States and Europe. This key technology however, is still at its immature stage in the country. The component elements of ITS are shown in Figure 1. The main goal of ITS is to improve the overall efficiency of transportation systems by using



References: Hellinga, B., P.E., Fu, L. (1999) Assessing Expected Accuracy of Probe Vehicle Travel Time Reports. Journal of Transportation Engineering, Nov/Dec 1999, 525- 530. ITS Introduction Guide: Draft (2006) Road Bureau, Ministry of Land, Infrastructure and Transport, Japan, 2006. ITS Toolkit for Road Transport in Countries with Developing and Transitional Economies, World Bank, Washington, DC, www.developingits.org/itstoolkit/report/itsdevelop.pdf. Proceedings of the 17th Annual Conference of the Transportation Science Society of the Philippines (2009) Ishizaka, T., Fukuda, A. Narupiti, S. (2005) Evaluation of Probe Vehicle System by Using Micro Simulation Model and Cost Analysis. Journal of the Eastern Asia Society for Transportation Studies, Vol.6, 2502-2514. Laborczi, P. (2006) Travel Time Estimation Based on Incomplete Probe Car Information. 13th World Congress on ITS, 8-12 October 2006, London. Liu, K., Yamamoto, T., Morikawa, T. (2008) Study on the Cost-Effectiveness of a Probe Vehicle System at Lower Polling Frequencies. International Journal of ITS Research, Vol. 6, No.1, 2008. Metro Manila Urban Transportation Integration Study (1997) Transportation demand characteristics based on person trip survey. MMUTIS Technical Report No. 4, Manila, Philippines. Middleton, D., Gopalakrishna, D., Raman, M., (2003) Advances in Traffic Data Collection and Management. US Federal Highway Administration, Washington, DC. Miwa, T., Sakai, T., Morikawa, T. (2004) Route Identification and Travel Time Prediction Using Probe-Car Data. International Journal of ITS Research, Vol. 2, No. 1. Shibata, J. (1998) General Trends of ITS in the World: Key Technology to Improve Traffic Safety. Journal of International Association of Traffic and Safety Sciences, Vol. 22, 7-22. Sigua, R. (2008) Fundamentals of Traffic Engineering. University of the Philippines Press, Quezon City. Sigua, R. (2009) ITS Experience in the Philippines. Seminar on Intelligent Transport Systems (ITS) Applications in the Philippines. Ortigas Center, Mandaluyong City, February 13, 2009. Traffic Detector Handbook (1991) Institute of Transportation Engineers, Washington D.C. TMC (2006) The Motorist’s Handbook. The Tollways Management Corporation publication, Caloocan City. Yokota, T. (2004) ITS for Developing Countries, Technical Note 1. World Bank, Washington, DC, http://siteresources.worldbank.org/EXTROADSHIGHWAYS/Resources/ITSNote1.pdf. Yokota, T. (2004) Two Stage Selection Model for ITS Applications, Technical Note 2. World Bank, Washington, DC, http://siteresources.worldbank.org/EXTROADSHIGHWAYS/Resources/ITSNote2.pdf Yokota, T. (2004) Innovative Approaches to the Application of ITS in Developing Countries, Technical Note 3. World Bank, Washington, DC, http://siteresources.worldbank.org/EXTROADSHIGHWAYS/Resources/ITSNote3.pdf. Yokota, T., Weiland, R., Yamagata, H. (2005), Approaches for Introducing Intelligent Transportation Systems into Developing Countries, Transportation Research Record: Journal of the Transportation Research Board, No. 1910, pp. 72-81. Proceedings of the 17th Annual Conference of the Transportation Science Society of the Philippines (2009) Appendix 1. Sample of Stage 2 selection model of ITS applications: Traffic Management (taken from ITS Technical Note 2, p. 11 Proceedings of the 17th Annual Conference of the Transportation Science Society of the Philippines (2009) Appendix 1. (Continuation) Sample of Stage 2 selection model of ITS applications: Traffic Management (taken from ITS Technical Note 2, p. 12

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