Print Email Facebook Twitter Optimising a vehicle's approach towards an adaptively controlled intersection Title Optimising a vehicle's approach towards an adaptively controlled intersection Author van Katwijk, R.T. Gabriel, S. Publication year 2015 Abstract Traffic emissions at controlled intersections can be reduced when the possibilities of infrastructure-to-vehicle communication are put to good use. In this study 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 employs a model-predictive control approach, an advanced form of traffic-adaptive control. The vehicle-based application uses information gained from the infrastructure-based application (i.e. the estimated time that the vehicle approaching the intersection will be allowed to enter the intersection and cross the stop line) to improve a vehicle’s approach towards an intersection. Both applications have the same aim: to avoid unnecessary accelerations, decelerations and delay. For both peak and off-peak hours, the results show that the application of a model-predictive controller as opposed to the more traditional traffic-actuated controller is beneficial both in terms of travel time reduction (∼15.5% in both cases) and carbon-di-oxide (CO2) reduction (2.9 and 9.3%, respectively). Together with an approach advice the amount of CO2 emitted in both cases can be further reduced with an additional 7%, assuming a 100% equipment ratio. Subject Urban Mobility & EnvironmentSMb - Smart MobilityELSS - Earth, Life and Social SciencesMobility & LogisticsTrafficUrbanisation To reference this document use: http://resolver.tudelft.nl/uuid:24ea211a-4051-4349-b803-639649fae679 TNO identifier 523812 Source IET Intelligent Transport Systems, 1-9 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.