Modeling of vehicle CO2 emissions and signal timing analysis at a signalized intersection considering fuel vehicles and electric vehicles

• Published in: European transport research review Vol. 13; no. 1; pp. 1 - 15
• Main Authors: Zhao, Hong-Xing, He, Rui-Chun, Yin, Na
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.01.2021; Springer Nature B.V; SpringerOpen
• Subjects: Automotive Engineering; Carbon dioxide; Carbon dioxide emissions; Civil Engineering; CO2 emissions; Driving conditions; Electric vehicle; Electric vehicles; Emission analysis; Energy consumption; Engineering; Fuel vehicle; Fuels; Motor vehicles; Optimization; Original Paper; Regional/Spatial Science; Roads; Signal timing; Signalized intersection; Traffic; Traffic control; Traffic delay; Traffic flow; Traffic intersections; Traffic planning; Traffic signals; Transportation; Urban environments; Urban traffic; Vehicle emissions; Signalized intersection; Urban traffic; Fuel vehicle; Signal timing; Electric vehicle; CO; emissions
• ISSN: 1867-0717; 1866-8887
• DOI: 10.1186/s12544-020-00466-y

Background An intersection is an area with more energy consumption and emissions by motor vehicles, and the energy consumption and emissionsof vehicles at intersections should be reduced in road planning and traffic control to improve the urban traffic environment. Objectives In order to analyze the influence of signal timing on CO 2 emission of traffic flow under the mixed traffic environment of fuel vehicles and electric vehicles. Methods A set of CO 2 incremental emission models is established to estimate the CO 2 emissions of fuel vehicles and electric vehicles at signalized intersections. Then, a signal timing model with minimum CO 2 emissions is established, and the influence of signal timing with minimum CO 2 emissions on vehicle control delay and stop rates under different traffic conditions is analyzed. Conclusions The case study shows that optimizing of the timing parameters of intersections from the perspective of vehicle CO 2 emissions is different from the perspective of control delay or stop rate; the model’s timing optimization will effectively balance the CO 2 emissions generated by vehicles during the acceleration, deceleration and idling stages, essentially achieving a comprehensive consideration of vehicle control delay and stop rates. When the road section speed and the mixed proportion of electric vehicles are low, the timing results tend to reduce the vehicle delay at intersections, but when the road section speed and the mixed proportion of electric vehicles are high, the timing results tend to reduce the vehicle stop rate.