Agent-Based Modeling for Carpooling

Agent-Based Modeling for Carpooling

Luk Knapen, Ansar-Ul-Haque Yasar, Sungjin Cho, Tom Bellemans
ISBN13: 9781466684737|ISBN10: 1466684739|EISBN13: 9781466684744
DOI: 10.4018/978-1-4666-8473-7.ch034
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MLA

Knapen, Luk, et al. "Agent-Based Modeling for Carpooling." Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2015, pp. 662-688. https://doi.org/10.4018/978-1-4666-8473-7.ch034

APA

Knapen, L., Yasar, A., Cho, S., & Bellemans, T. (2015). Agent-Based Modeling for Carpooling. In I. Management Association (Ed.), Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications (pp. 662-688). IGI Global. https://doi.org/10.4018/978-1-4666-8473-7.ch034

Chicago

Knapen, Luk, et al. "Agent-Based Modeling for Carpooling." In Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 662-688. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8473-7.ch034

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Abstract

Modeling activities and travel for individuals in order to estimate traffic demand leads to large scale simulations. Most current models simulate individuals acting in a mutually independent way except for the use of the shared transportation infrastructure. As soon as cooperation between autonomous individuals is accounted for, the individuals are linked to each other in a network structure and interact with their neighbours in the network while trying to achieve their own goals. In concrete traffic-related problems, those networks can grow very large. Optimization over such networks typically leads to combinatorially explosive problems. In this chapter, the case of providing optimal advice to combine carpooling candidates is considered. First, the advisor software structure is explained; then, the characteristics for the carpooling candidates network derived for Flanders (Belgium) are calculated in order to estimate the problem size.

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