Using I2 V Communication to Reduce Traffic Emissions at Urban Signalized Intersections

Traffic emissions at controlled intersections can be significantly reduced when the possibilities of Infrastructure-to-Vehicle (I2 V) communication are put to good use. In this paper the authors present two applications, one infrastructure-based and one vehicle-based that in concert are able to significantly reduce the overall emissions at a controlled intersection. The infrastructure-based application uses information gained from the vehicles (i.e, estimated times of arrival and characteristics of the vehicle with respect to fuel usage) to improve the distribution of green times. The vehicle-based application uses information gained from the infrastructure (i.e, the vehicle's estimated time of departure from the stopline) to improve a driver's approach towards an intersection. Both applications have the same aim: to avoid unnecessary accelerations, decelerations, and delay. The infrastructure-based application employs a form of traffic-adaptive control. In general, traffic signal controllers that employ detection can be categorized into traffic-actuated and traffic-adaptive controllers. Actuated controllers determine the length of the green time for a signal based on the presence of demand for that signal. Traffic-adaptive controllers take a different approach and regularly employ a traffic model to take the entire intersection into account in order to determine the optimal distribution of green times. For the infrastructure based application results show that travel times can be reduced by 20.9%, and that traffic emissions can be reduced by 11.1%, 12.6%, and 9.4% for CO2, NOx and PM10 respectively. Results also show that together with the vehicle based application, which aims at CO2 reduction, traffic emissions can be reduced by 19.1%, 22.4%, and 16.7% for CO2, NOx and PM10 respectively.


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  • Accession Number: 01487627
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 18 2013 1:59PM