Yaoming Zhou

ORCID: 0000-0003-4080-5658
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About
Contact & Profiles
Research Areas
  • Infrastructure Resilience and Vulnerability Analysis
  • Transportation and Mobility Innovations
  • Aviation Industry Analysis and Trends
  • Transportation Planning and Optimization
  • Supply Chain Resilience and Risk Management
  • Complex Network Analysis Techniques
  • Air Traffic Management and Optimization
  • Electric Vehicles and Infrastructure
  • Urban Transport and Accessibility
  • Smart Parking Systems Research
  • Advanced Manufacturing and Logistics Optimization
  • Risk and Safety Analysis
  • Traffic control and management
  • Aerodynamics and Acoustics in Jet Flows
  • Vehicle Routing Optimization Methods
  • Vehicle Noise and Vibration Control
  • COVID-19 epidemiological studies
  • Evacuation and Crowd Dynamics
  • Aerodynamics and Fluid Dynamics Research
  • Distributed Control Multi-Agent Systems
  • UAV Applications and Optimization
  • Occupational Health and Safety Research
  • Robotic Path Planning Algorithms
  • Fluid Dynamics and Vibration Analysis
  • Scheduling and Optimization Algorithms

Shanghai Jiao Tong University
2020-2025

Division of Undergraduate Education
2022

Framework
2022

University of Liverpool
2022

Beihang University
2015-2021

University of Hong Kong
2016-2019

City University of Hong Kong, Shenzhen Research Institute
2018-2019

RWTH Aachen University
2017

The resilience of transportation systems has been extensively studied in the past decade. This paper aims to provide a synthesis up-to-date literature on resilient transportation, focusing concepts and methodologies. A systematic search method integrating database search, related journal citation supplement is proposed select all appropriate articles. Based selected core papers, definition examined, some are compared. main body devoted review metrics mathematical models used measure...

10.1109/tits.2018.2883766 article EN IEEE Transactions on Intelligent Transportation Systems 2019-01-04

10.1016/j.tre.2023.103016 article EN Transportation Research Part E Logistics and Transportation Review 2023-01-07

10.1016/j.tre.2018.11.008 article EN Transportation Research Part E Logistics and Transportation Review 2018-12-03

10.1016/j.tre.2021.102292 article EN Transportation Research Part E Logistics and Transportation Review 2021-03-20

10.1016/j.tre.2021.102411 article EN Transportation Research Part E Logistics and Transportation Review 2021-06-23

10.1016/j.tre.2024.103446 article EN Transportation Research Part E Logistics and Transportation Review 2024-02-10

The congestion and disruption of information infrastructures frequently happen during disasters, which would hinder the understanding disaster scenarios, thus impede rapid response activities. With advantages high flexibility efficiency, this paper proposes to use UAVs as temporary mobile relays for data collection. However, different from many existing collection scenarios in industrial sectors, value varies with UAV arrival time service terms their importance response, makes scheduling...

10.1109/tits.2023.3345280 article EN IEEE Transactions on Intelligent Transportation Systems 2024-01-02

10.1016/j.trd.2025.104618 article EN Transportation Research Part D Transport and Environment 2025-02-01

Robustness measures a system's ability of being insensitive to disturbances. Previous studies assessed the robustness transportation networks single disturbance without considering simultaneously happening multiple events. The purpose this article is address problem and propose new framework assess an urban network. consists two layers. upper layer define index based on impact evaluation in different scenarios obtained from lower layer, whereas evaluate performance each hypothetical...

10.1111/risa.12802 article EN Risk Analysis 2017-04-24

A fundamental and important step for safety analysis an urban transportation system is to find its critical links. However, most approaches in the current literature focused on highway or intercity systems. The key characteristics of systems were not considered concept criticality links was mixed up with vulnerability. This paper defines from two perspectives, i.e., vulnerability potential, based which a novel methodology identifying network proposed. includes ranking method mesoscopic model...

10.1109/tits.2017.2700080 article EN IEEE Transactions on Intelligent Transportation Systems 2017-05-23

10.1016/j.tre.2019.01.009 article EN Transportation Research Part E Logistics and Transportation Review 2019-01-30

The COVID-19 pandemic has brought a brand-new challenge to the design and management of air transportation network (ATN). Many countries have partially or entirely shut down their international flights during this period contain spread COVID-19. However, changes in connectivity different varied greatly, as ATNs structures. Accordingly, paper studies impact topology on robustness country's ATN pandemic-induced disruptions. Therein, Weighted International Efficiency metric is proposed evaluate...

10.1109/tnse.2021.3085818 article EN IEEE Transactions on Network Science and Engineering 2021-06-01

Abstract Global pandemics restrict long‐haul mobility and international trade. To restore air traffic, a policy named “travel bubble” was implemented during the recent COVID‐19 pandemic, which seeks to re‐establish connections among specific countries by permitting unrestricted passenger travel without mandatory quarantine upon arrival. However, bubbles are prone bursting for safety reasons, how develop an effective restoration plan through is under‐explored. Thus, it vital learn from formal...

10.1111/risa.14348 article EN cc-by Risk Analysis 2024-06-24

Recently, an increasing number of companies have encountered random production disruptions due to the COVID-19 pandemic. In this study, we investigate a two-stage supply chain in which retailer can order products from low-price ("cheap") unreliable supplier (who may be subject uncertain disruption and partially deliver order) "expensive" reliable at Stage 1 more backup 2. If happens, only that were produced before time obtained supplier. It is found case with imperfect demand information...

10.1016/j.ejor.2022.11.021 article EN cc-by European Journal of Operational Research 2022-11-17

10.1109/tits.2025.3564359 article EN IEEE Transactions on Intelligent Transportation Systems 2025-01-01
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