Low Emissions and Delay Optimization for an Isolated Signalized Intersection Based on Vehicular Trajectories.

Area of Science:

• Environmental Science
• Transportation Engineering
• Urban Planning

Background:

• Traditional traffic signal systems prioritize vehicular delay and queue length.
• Growing urban environmental pollution necessitates low-carbon, energy-efficient transport solutions.
• Resource-saving and environmentally friendly social philosophies drive sustainable urban development.

Purpose of the Study:

• To develop a novel traffic signal control model aimed at simultaneously reducing vehicular emissions and delay.
• To establish a quantifiable relationship between vehicular emissions and traffic delay.
• To optimize urban transport for environmental sustainability and efficiency.

Main Methods:

• Defining vehicular trajectories and calculating vehicular emissions using Vehicle Specific Power (VSP).
• Employing regression analysis to model the relationship between emissions and delay.
• Developing a traffic signal control model using enumeration and saturation constraints.
• Validating the model through VISSIM simulations at a typical intersection.

Main Results:

• The proposed model significantly reduces both vehicle delay and traffic emissions.
• Demonstrated a quantifiable link between vehicular emissions and delay.
• Simulation results confirmed the model's effectiveness in a real-world scenario.

Conclusions:

• The developed traffic signal control model offers a viable solution for mitigating urban traffic pollution and congestion.
• This approach supports the transition towards more sustainable and energy-efficient urban transportation systems.
• Simultaneous reduction of vehicle delay and emissions is achievable through intelligent traffic signal control.