A Model for Urban Road Network Vulnerability Analysis Based on Cumulative Prospect Theory
- DOI
- 10.2991/iccte-16.2016.16How to use a DOI?
- Keywords
- traffic engineering; road network vulnerability evaluation; cumulative prospect theory; variational inequality; key link identifications; stochastic user equilibrium; travel time budget
- Abstract
A model for network vulnerability evaluation based on cumulative prospect theory is proposed for more accurate evaluation of the effects of travelers’ behavioral responses on road network vulnerability caused by link closure. In the proposed model, the effects of both demand variations and travelers’ route choice behavior with bounded rationality are explicitly taken into account. The calculation formulas of the prospect values are derived when traffic demand follows a log-normal distribution, and the stochastic user equilibrium model based on cumulative prospect theory formulated as an equivalent variational inequality problem is built. A network validity index based on cumulative prospect value is proposed, and the change of network validity is used to evaluate network vulnerability and then identify the critical links that the failure of those links would have significant impacts on the whole network. The results show that both demand fluctuation and travelers’ route choice behaviors would have significant effect on consequences of road network vulnerability evaluation. Different demand level, demand fluctuation degree and assumption on travelers’ route choice behaviors would lead to different results of network vulnerability evaluation.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Biao Lü AU - Yu Huang PY - 2016/01 DA - 2016/01 TI - A Model for Urban Road Network Vulnerability Analysis Based on Cumulative Prospect Theory BT - Proceedings of the 2016 International Conference on Civil, Transportation and Environment PB - Atlantis Press SP - 93 EP - 104 SN - 2352-5401 UR - https://doi.org/10.2991/iccte-16.2016.16 DO - 10.2991/iccte-16.2016.16 ID - Lü2016/01 ER -