Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework

Sojung Kim, Young-Jun Son, Ye Tian, Yi-Chang Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The goal of this paper is to analyze drivers' en-route divergence behaviors when a road way is blocked by a car incident. The Extended Belief-Desire-Intention (E-BDI) framework is adopted in this work to mimic real drivers' uncertain en-route planning behaviors based on the drivers' perceptions and experiences. The proposed approach is implemented in Java-based E-BDI modules and DynusT® traffic simulation software, where a traffic data of Phoenix in the U.S. is used to illustrate and demonstrate the proposed approach. For validation of the proposed approach, we compare the drivers' en-route divergence patterns obtained by E-BDI en-route planning with the divergence patterns provided by Time Dependent Shortest Path (TDSP) finding algorithm of DynusT®. The results have revealed that the proposed approach allows us to better understand various divergence patterns of drivers so that a reliable traffic system considering impacts of the sudden road way blocking events can be designed.

Original languageEnglish (US)
Title of host publicationProceedings - Winter Simulation Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages344-355
Number of pages12
Volume2015-January
ISBN (Print)9781479974863
DOIs
StatePublished - Jan 23 2015
Event2014 Winter Simulation Conference, WSC 2014 - Savannah, United States
Duration: Dec 7 2014Dec 10 2014

Other

Other2014 Winter Simulation Conference, WSC 2014
CountryUnited States
CitySavannah
Period12/7/1412/10/14

Fingerprint

Behavior Modeling
Driver
Divergence
Planning
Route Planning
Railroad cars
Traffic
Traffic Simulation
Simulation Software
Shortest path
Java
Framework
Beliefs
Module
Demonstrate

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Kim, S., Son, Y-J., Tian, Y., & Chiu, Y-C. (2015). Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework. In Proceedings - Winter Simulation Conference (Vol. 2015-January, pp. 344-355). [7019901] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2014.7019901

Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework. / Kim, Sojung; Son, Young-Jun; Tian, Ye; Chiu, Yi-Chang.

Proceedings - Winter Simulation Conference. Vol. 2015-January Institute of Electrical and Electronics Engineers Inc., 2015. p. 344-355 7019901.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, S, Son, Y-J, Tian, Y & Chiu, Y-C 2015, Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework. in Proceedings - Winter Simulation Conference. vol. 2015-January, 7019901, Institute of Electrical and Electronics Engineers Inc., pp. 344-355, 2014 Winter Simulation Conference, WSC 2014, Savannah, United States, 12/7/14. https://doi.org/10.1109/WSC.2014.7019901
Kim S, Son Y-J, Tian Y, Chiu Y-C. Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework. In Proceedings - Winter Simulation Conference. Vol. 2015-January. Institute of Electrical and Electronics Engineers Inc. 2015. p. 344-355. 7019901 https://doi.org/10.1109/WSC.2014.7019901
Kim, Sojung ; Son, Young-Jun ; Tian, Ye ; Chiu, Yi-Chang. / Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework. Proceedings - Winter Simulation Conference. Vol. 2015-January Institute of Electrical and Electronics Engineers Inc., 2015. pp. 344-355
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