Title :
Integrated traffic flow and emission control based on FASTLANE and the multi-class VT-macro model
Author :
Shuai Liu ; De Schutter, Bart ; Hellendoorn, Hans
Abstract :
The main goal of this paper is to develop a multi-class traffic flow and emission model that is suited for on-line model-based control. Multi-class traffic flow and emission models take into account the heterogeneous nature of traffic networks. In comparison with single-class models, these models are more accurate. Using more accurate model results in better description of the traffic network. However, this also leads to lower a computation speed when the model is used for on-line model-based control. FASTLANE is a first-order multi-class traffic flow model that is faster than second-order models (such as METANET). However, FASTLANE does not yet describe emission and fuel consumption. Therefore, we propose to integrate FASTLANE with the VT-macro emission model. This results in a combined FASTLANE and multi-class VT-macro model that describes multi-class traffic flows and emissions and that yields a balanced trade-off between the accuracy and the computation speed. On-line model predictive control is used to obtain a balanced optimization of the total time spent and the total emissions. A case study is implemented to validate the efficiency of the new integrated FASTLANE and multi-class VT-macro model. The simulation results indicate that considering the heterogeneous nature of multi-class traffic leads to a better control performance than single-class models.
Keywords :
emission; optimisation; predictive control; road traffic control; FASTLANE; balanced optimization; emission control; fuel consumption; integrated traffic flow; multiclass VT-macro model; online model predictive control; online model-based control; traffic networks; Acceleration; Computational modeling; Equations; Mathematical model; Predictive models; Vehicle dynamics; Vehicles; FASTLANE; Model Predictive Control; Multi-class VT-macro; Traffic management;
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
DOI :
10.1109/ECC.2014.6862168