An Optimal Method for Signal Timing at Intersections to Reduce Motor Vehicle Exhaust Emissions

Abstract

The invention discloses a crossing signal timing optimization method for reducing exhaust gas emission of a motor vehicle, and is applied to a single-point signal control crossing with (without) a left-turn short lane. An emission factor calibration method during red light and green light periods is brought forward based on motor vehicle specific power, and a signal timing optimization model of a minimum motor vehicle emission amount is constructed according to a traffic flow theory and operational research. Three common pollutants including CO, HC and NOx are taken into consideration, a traffic simulation experiment is designed by use of VISSIM software, a parameter calibration and model solution algorithm is compiled by use of MATLAB software, two emission factors of each pollutant of each lane are calibrated according to vehicle driving condition data, and a new signal timing optimization model is verified by use of traffic flow data. Results show that the emission factors during the green light period are higher than the emission factors during the red-light period, and the new method can reduce both vehicle delay and traffic emission. The method provided by the invention facilitates simultaneous reduction of the vehicle delay at a crossing and the traffic emission through optimization of a conventional signal timing scheme, thereby being widely applied to design of a single-point crossing signal timing scheme.

Description

technical field [0001] The invention belongs to the field of intelligent traffic control, and relates to a signal timing optimization method suitable for single-point control intersections with (without) left-turn short lanes and reducing exhaust emissions of motor vehicles. Background technique [0002] Today, environmentally friendly and sustainable development is a focus of widespread concern around the world. Motor vehicle exhaust emissions, as one of the main sources of environmental pollution, need to be effectively controlled through advanced energy-saving and emission-reduction technologies. [0003] Signal-controlled intersection is an important part of urban road network, and whether it is smooth or not plays a key role in the operation efficiency of the entire road network. At the same time, the reduction of motor vehicle exhaust emissions at intersections will also reduce the motor vehicle exhaust emissions of the entire road network, thereby improving the enviro...

AI Technical Summary

Problems solved by technology

[0005] (1) Carry out motor vehicle emission detection tests on different grades of urban roads using vehicle exhaust gas detection technology (PEMS), and discuss the correlation between traffic signal control and motor vehicle emissions through statistical analysis. The technical defect lies in the aggregated emissions The factor usually selects the average value of emission factors under different driving conditions;

[0006] (2) Introduce the atmospheric diffusion model or use traffic simulation software to establish an optimal model of intersection signal timing with the goal of reducing motor vehicle emissions. The difference in operating rules, and the influence of the left-turning short lane on the saturation flow rate of the entrance road is ignored

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