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A Hybrid Model for Driver Route Choice Incorporating En-Route Attributes and Real-Time Information Effects

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Abstract

The en-route driver behavior problem under information provision is characterized by subjective and linguistic variables, in addition to situational factors. Fuzzy modeling provides a robust mechanism to capture subjectivity and/or the linguistic nature of the causal variables. This motivates the development of a hybrid en-route route choice model that combines quantitative and fuzzy variables to more robustly predict driver routing decisions under information provision. Simulation experiments are conducted to analyze the ability of the hybrid model to capture en-route driver behavior effects in the within-day and day-to-day contexts.

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Authors and Affiliations

  1. School of Civil Engineering, Purdue University, West Lafayette, IN, 47907, USA

    Srinivas Peeta

  2. Division of Environmental and Urban Engineering, Ajou University, Suwon, 443-749, Korea

    Jeong Whon Yu

Authors
  1. Srinivas Peeta
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  2. Jeong Whon Yu
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Correspondence to Srinivas Peeta.

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Peeta, S., Yu, J.W. A Hybrid Model for Driver Route Choice Incorporating En-Route Attributes and Real-Time Information Effects. Netw Spat Econ 5, 21–40 (2005). https://doi.org/10.1007/s11067-005-6660-9

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  • DOI: https://doi.org/10.1007/s11067-005-6660-9

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