Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning

Joint Authors

Ni, Wu
Li, Wenbo
Wang, Hailei
Xiong, Chengxin
Guo, Dan

Source

Journal of Advanced Transportation

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-06-27

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

This paper presents a heuristic contraflow-based reconfiguration evacuation algorithm, which is named Capacity-Constrained Contraflow Adaption (CC-Adap).

First, it effectively calculates optimal candidate routes for evacuation.

Second, an evaluation method is proposed for estimating these candidate routes.

Third, CC-Adap utilizes a contraflow-based method to reconfigure the evacuation routes to improve capacity constraints.

Fourth, traffic conditions are updated in real time.

Fifth, CC-Adap reuses historical evacuation routes to reduce the computational cost and accelerate the evacuation process.

Experimental results show that CC-Adap generates high-performing evacuation strategies and can be used to tackle large-scale evacuation planning.

American Psychological Association (APA)

Ni, Wu& Li, Wenbo& Wang, Hailei& Xiong, Chengxin& Guo, Dan. 2018. Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1181008

Modern Language Association (MLA)

Ni, Wu…[et al.]. Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning. Journal of Advanced Transportation No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1181008

American Medical Association (AMA)

Ni, Wu& Li, Wenbo& Wang, Hailei& Xiong, Chengxin& Guo, Dan. Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1181008

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1181008