A green, resilient, electric, and AI-driven transport (GREAT) system 1

Junyi Zhang

Chapter 22 in Research Handbook on Transport and COVID-19, 2025, pp 456-468 from Edward Elgar Publishing

Abstract: This chapter proposes an innovative transport system poised to address longstanding systemic challenges in transportation that have existed for years. Firstly, it is a green system (G) as it derives its energy to power the road transport system primarily from renewable sources, notably solar and wind. Secondly, it is a resilient system (R) as it fosters community harmony through the strategic installation of solar panels and/or wind turbines along roads and in urban or peri-urban areas, thus bolstering the resilient development of communities. The resilience also stems from the fact that this renewable energy-powered transport system does not suffer from energy security concerns associated with reliance on overseas fossil fuel imports. Thirdly, it is an electric road system (E) designed to enable electric vehicles to charge both while in motion and while stopped. Fourthly, it is an AI-driven transport system (A) since it facilitates the operation of not only autonomous vehicles but also other types of AI-supported transport systems (T). This innovative transport system is therefore named the GREAT system, derived from the amalgamation of the aforementioned five highlighted letters. The above GREAT system provides systematic solutions to long-standing challenges in the road transport sector. These challenges include an aging population, idle use of vehicle batteries, inefficient operation of transport systems, shortages of professional drivers, energy security, environmental emissions, and socio-economic issues faced by marginalized regions along expressways, which are marked by declining populations and aging demographics, and various urban development issues.

Keywords: Resilient transport; Electric road system (ERS); Artificial intelligence; Renewable energy; Vehicle to grid (V2G) system; Smart logistics and freight (search for similar items in EconPapers)
Date: 2025
ISBN: 9781802208009
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