Evaluating Sustainability in Simulations of Automated and Connected Transport

Abstract

Early studies projected potential societal, economic and environmental benefits by the widespread deployment of Autonomous and Connected Transport (ACT) promising a significant reduction of transport costs and improvement in road safety. An effective way of assessing ACT impact is via simulations, where results are largely affected by the scenarios defining the ACT development. However, modelled scenarios are very diverse due to the huge uncertainty in ACT development and deployment. This chapter aims to shed light on the different ACT simulation scenarios and sustainability aspects that should be considered while developing or reporting the simulation results. To this end, this chapter discusses the various simulation approaches, what the required (or the typically utilised) pipelines are, and how some components are more important or less important than in ‘classic’ modelling and simulation approaches. Special focus is dedicated to the uncertainty related to ACT operational parameters and how these will impact transport modelling. To address said uncertainty, an analysis of current approaches to scenario building is provided, as the chapter guides the reader through different methodologies and clusters them in relation to the desired indicators. Finally, the chapter identifies and proposes Key Performance Indicators (KPIs) that are useful when applying simulation tools to assess ACT scenarios. These KPIs can be used for simulation scenario development to test particular sustainability aspects of ACT deployment and relevant policies.

Citation

Dadashzadeh, N., Agriesti, S., Sadid, H., Elvarsson, A.B., Roncoli, C. and Antoniou, C. (2024), "Evaluating Sustainability in Simulations of Automated and Connected Transport", Thomopoulos, N., Attard, M. and Shiftan, Y. (Ed.) Sustainable Automated and Connected Transport (Transport and Sustainability, Vol. 19), Emerald Publishing Limited, Leeds, pp. 47-64. https://doi.org/10.1108/S2044-994120240000019003