TY - GEN
T1 - Improving Infrastructure and Community Resilience with Shared Autonomous Electric Vehicles (SAEV-R)
AU - Yu, Jiangbo Gabe
AU - Hyland, Michael F.
AU - Chen, Anthony
N1 - Funding Information:
ACKNOWLEDGMENT The first two authors appreciate the support of NSF CMMI# 2125560 “SCC-IRG Track 1: Revamping Regional Transportation Modeling and Planning to Address Unprecedented Community Needs during the Mobility Revolution.” The third author thank the support from the Project of Strategic Importance (1-ZE0A) at the Hong Kong Polytechnic University.
Publisher Copyright:
© 2023 IEEE.
PY - 2023/6
Y1 - 2023/6
N2 - We propose using surface and aerial shared autonomous electric vehicles (SAEVs) to improve the resilience of infrastructure and communities, or SAEV-R. In disruptive events, SAEVs can be temporarily deployed to evacuate and rescue at-risk populations, provide essential supplies and services to vulnerable households, and transport repair crews and equipment. We present a modeling framework for feasibility analysis and strategic planning associated with deploying SAEVs for disaster relief. The framework guides our examination of three scenarios: a hurricane-induced power outage, a pandemic-affected vulnerable population, and earthquake-damaged infrastructure. The results demonstrate the flexibility of the proposed framework and showcase the potential and versatility of SAEV-R systems to improve resilience.
AB - We propose using surface and aerial shared autonomous electric vehicles (SAEVs) to improve the resilience of infrastructure and communities, or SAEV-R. In disruptive events, SAEVs can be temporarily deployed to evacuate and rescue at-risk populations, provide essential supplies and services to vulnerable households, and transport repair crews and equipment. We present a modeling framework for feasibility analysis and strategic planning associated with deploying SAEVs for disaster relief. The framework guides our examination of three scenarios: a hurricane-induced power outage, a pandemic-affected vulnerable population, and earthquake-damaged infrastructure. The results demonstrate the flexibility of the proposed framework and showcase the potential and versatility of SAEV-R systems to improve resilience.
KW - community resilience
KW - disaster response
KW - infrastructure recovery
KW - shared autonomous electric vehicles
UR - http://www.scopus.com/inward/record.url?scp=85168012798&partnerID=8YFLogxK
U2 - 10.1109/IV55152.2023.10186785
DO - 10.1109/IV55152.2023.10186785
M3 - Conference article published in proceeding or book
AN - SCOPUS:85168012798
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
BT - IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th IEEE Intelligent Vehicles Symposium, IV 2023
Y2 - 4 June 2023 through 7 June 2023
ER -