Abstract

In line with globally shared environmental sustainability goals, the shift towards citizen-friendly mobility is changing the way people move through cities and road user behaviour. Building a sustainable road transport requires design knowledge to develop increasingly green road infrastructures and monitoring the environmental impacts from mobile crowdsourced data. In this view, the paper presents an empirically based methodology that integrates the vehicle-specific power (VSP) model and microscopic traffic simulation (AIMSUN) to estimate second-by-second vehicle emissions at urban roundabouts. The distributions of time spent in each VSP mode from instantaneous vehicle trajectory data gathered in the field via smartphone were the starting point of the analysis. The versatility of AIMSUN in calibrating the model parameters to better reflect the field-observed speed-time trajectories and to enhance the estimation accuracy was assessed. The conversion of an existing roundabout within the sample into a turbo counterpart was also made as an attempt to confirm the reproducibility of the proposed procedure. The results shed light on new opportunities in the environmental performance evaluation of road units when changes in design or operation should be considered within traffic management strategies and highlighted the potential of the smart approach in collecting big amounts of data through digital communities.

Highlights

  • Urban mobility is going through a time of great change and road user needs are changing with it [1]

  • The speed-time profiles detected in the field by smartphone through the existing roundabouts and those simulated by AIMSUN were the starting point for estimating emissions of CO2, CO, NOx and HC

  • After identification of the main characteristics of trajectories driven through the sampled roundabouts, the data were interpreted in terms of representative speed profiles provided by the test vehicle by roundabout to use them in the subsequent simulation, and in indirect estimation of emissions based on the vehicle-specific power (VSP) methodology

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Summary

Introduction

Urban mobility is going through a time of great change and road user needs are changing with it [1]. Since the Paris Agreement, sustainable urban mobility has become a key concept to achieve the goals set with respect to climate change, economic growth and road safety [2,3]. Owing to their predominant role in promoting the sustainable mobility and transport, road infrastructure issues are of special concern. There is a great potential for the widespread development of computing platforms to support distributed mobile sensing due to the extensive employ of always-connected smartphones and mobile devices as a link between people and things to monitor the health and environmental impacts of air pollution from vehicles and to analyse risky driving events and road infrastructure conditions [7,8]. A sustainable urban mobility strategy has to incorporate a well-balanced set of policies, planning methods and measures to transit to a carbon-neutral status [10,11]

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