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Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway

  • Shanghai Jiao Tong University
  • University of Florida

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Electronic toll collection (ETC) has been designed and implemented to improve traffic efficiency and reduce traffic-related air pollution. However, the real-world impact of ETC on these factors is currently under-qualified. With this consideration, we attempted to reveal the effect of ETC on traffic efficiency and traffic pollution using portable emission measurement systems. Firstly, in contrast to the manual toll collection (MTC), ETC offer lower emissions and time savings, and there exist a quadratic relationship between emission rates and vehicle specific power. Secondly, vehicles in acceleration state emit more pollutants than other situations such as deceleration, steady cruising and idling in both ETC and MTC lanes. Thirdly, ETC lanes show 34.25% and 13.63% lower CO2 and NOx emissions, respectively, along with a 46.55% timesaving compared to MTC lanes. Finally, the study identifies engine load percent as the primary factor impacting emissions, accounting for 60–88% of the variance.

Original languageEnglish
Article number104024
JournalTransportation Research Part D: Transport and Environment
Volume126
DOIs
StatePublished - Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Driving behaviour
  • Random forest
  • Toll stations
  • Vehicle emission

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