A highway capacity function in Korea: Measurement and calibration |
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| Institution: | 1. Université de Tunis, Institut Supérieur de Gestion de Tunis, Cité Bouchoucha, 2000 Tunis, Tunisia;2. Department of Insurance and Risk Management, College of Economics and Administrative Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O Box 5701, Riyadh, Saudi Arabia;3. Université de Monastir, Laboratoire d’Algèbre, Théorie de Nombres et Analyse Non-linéaire, Faculté des Sciences, 5019 Monastir, Tunisia;1. Federal University of Paraiba, Postgraduate Course of Civil and Environmental Engineering, Campus I – Castelo Branco, 58051-900 Joao Pessoa, PB, Brazil;2. Federal University of Paraiba, Department of Civil and Environmental Engineering, Campus I – Castelo Branco, 58051-900 Joao Pessoa, PB, Brazil;3. Federal University of Campina Grande, Department of Civil Engineering, Campina Grande, PB, Brazil;1. Dept. of Chemical Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan;2. Dept. of Civil Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan;1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, China;2. Big Data Research Center, University of Electronic Science and Technology of China, China;3. Department of Computer and Information Sciences, Temple University, USA |
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| Abstract: | Capacity functions are important in the model that accounts for the user's route choice behavior based on the traveller's perception of the travel time. This is because a capacity function represents the relationship between the traffic volume and the travel time on the link. The capacity function developed by the U.S. Bureau of Public Roads (BPR) has been used in many countries, including Korea, without much effort to calibrate the parameters for its own transportation environment. Countries other than the United States, however, have distinctive demographic, economic, cultural, and behavioral characteristics; and they might need unique capacity functions for their own environments. Thus, it is important for Korea to have its own capacity function that can appropriately represent the Korea highway environment. Any attempt to model the Korean highway system without using a suitable capacity function might result in inappropriate solutions, because most modeling activities are crucially based on link travel time, and it is the capacity function that furnishes those link travel time. A link capacity function for Korea is calibrated based on a BPR type formula utilizing an alternative method. The alternative method is developed in a bilevel programming framework that uses link volume counts instead of link flow and travel time data. Detailed calibration results are reported. |
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