In recent years, connected vehicles have been appearing on the market and will gradually transit to a fully connected vehicles environment. This paper proposed an eco-driving system to reduce fuel consumption and carbon dioxide emissions (CO2 emissions) of vehicles when they move through successive signalized intersections under a partially connected vehicles environment. To verify the efficiency of the eco-driving system, a simulation system is developed using the multi-agent technology. The fuel consumption, CO2 emissions and travel time under the eco-driving system are compared with the traditional driving system at different market penetration rates and different traffic flow densities. Simulation results show that the proposed eco-driving system has the best control effect on the medium traffic flow density when the market penetration rate is 100%. Under this condition, the proposed eco-driving system can reduce approximately 40% fuel consumption and CO2 emissions, with the travel time only increasing by about 2%.
Eco-Driving at Successive Signalized Intersections under Partially Connected Vehicles Environment
18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China
CICTP 2018 ; 13-23
2018-07-02
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Queue Length Estimation for Signalized Intersections under Partially Connected Vehicle Environment
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