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 language | English (US) |
|---|---|
| Title of host publication | Proceedings - Winter Simulation Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 344-355 |
| Number of pages | 12 |
| Volume | 2015-January |
| ISBN (Print) | 9781479974863 |
| DOIs | |
| State | Published - Jan 23 2015 |
| Event | 2014 Winter Simulation Conference, WSC 2014 - Savannah, United States Duration: Dec 7 2014 → Dec 10 2014 |
Other
| Other | 2014 Winter Simulation Conference, WSC 2014 |
|---|---|
| Country | United States |
| City | Savannah |
| Period | 12/7/14 → 12/10/14 |
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ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Computer Science Applications
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework
AU - Kim, Sojung
AU - Son, Young-Jun
AU - Tian, Ye
AU - Chiu, Yi-Chang
PY - 2015/1/23
Y1 - 2015/1/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84940537748&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940537748&partnerID=8YFLogxK
U2 - 10.1109/WSC.2014.7019901
DO - 10.1109/WSC.2014.7019901
M3 - Conference contribution
AN - SCOPUS:84940537748
SN - 9781479974863
VL - 2015-January
SP - 344
EP - 355
BT - Proceedings - Winter Simulation Conference
PB - Institute of Electrical and Electronics Engineers Inc.
ER -