TY - GEN
T1 - Collaborative Vehicle Dispatching for Resilient and Fair Emergency Response
AU - Long, Yuying
AU - Sun, Ying
AU - Xu, Gangyan
AU - Shu, Pengfeng
N1 - Funding Information:
This research work was supported in part by National Natural Science Foundation of China under Grant 71804034 and 72174042, and the Science and Technology Innovation Committee of Shenzhen under Grant JYCJ20180306171958907 and GXWD20201230155427003-20200729171207002.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/12
Y1 - 2021/12
N2 - Efficient emergency vehicle dispatching is crucial for emergency response and could reduce human casualties and economic losses. However, during large scale unconventional disasters, rescue demands increase dramatically that traditional vehicle dispatching method cannot well cope with the unbal-anced situation, thus bringing about delayed response, uneven treatment, and waste of resources. To address these problems, this paper proposes an effective emergency vehicle dispatching method for resilient and fair emergency response. Firstly, a dy-namic emergency vehicle dispatching model is built considering resilience and fairness. Then a collaborative vehicle dispatching method with Tabu Search-based dispatching algorithm is pro-posed to solve the model. Finally, a simulation case study is carried out to verify the performance of the proposed method.
AB - Efficient emergency vehicle dispatching is crucial for emergency response and could reduce human casualties and economic losses. However, during large scale unconventional disasters, rescue demands increase dramatically that traditional vehicle dispatching method cannot well cope with the unbal-anced situation, thus bringing about delayed response, uneven treatment, and waste of resources. To address these problems, this paper proposes an effective emergency vehicle dispatching method for resilient and fair emergency response. Firstly, a dy-namic emergency vehicle dispatching model is built considering resilience and fairness. Then a collaborative vehicle dispatching method with Tabu Search-based dispatching algorithm is pro-posed to solve the model. Finally, a simulation case study is carried out to verify the performance of the proposed method.
KW - Collaborative vehicle dis-patching
KW - Emergency response
KW - Fairness
KW - Resilience
KW - Tabu search
UR - http://www.scopus.com/inward/record.url?scp=85125426228&partnerID=8YFLogxK
U2 - 10.1109/IEEM50564.2021.9672982
DO - 10.1109/IEEM50564.2021.9672982
M3 - Conference article published in proceeding or book
AN - SCOPUS:85125426228
T3 - 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021
SP - 649
EP - 653
BT - 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021
Y2 - 13 December 2021 through 16 December 2021
ER -