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Pulse-Glide Behavior in Emerging Mixed Traffic Flow Under Sensor Accuracy Variations: An Energy-Safety Perspective
Mengyuan Huang1, Jinjun Sun2, Honggang Li3
1School of Automotive and Transportation Engineering, Shenzhen Polytechnic University, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|July 12, 2025
Summary
Pulse and Glide (PnG) driving significantly cuts fuel consumption by up to 39.53% and reduces traffic conflicts by 30% in connected and automated vehicles (CAVs). Enhanced sensor accuracy in CAVs further improves safety and fuel efficiency.
Area of Science:
- Sustainable transportation systems
- Intelligent transportation systems (ITS)
Background:
- Pulse and Glide (PnG) is a fuel-saving technique mainly for manual transmission vehicles.
- The effectiveness of PnG in connected and automated vehicles (CAVs) and their impact on energy conservation are underexplored.
- CAVs exhibit individual variations in perception capabilities, influencing energy conservation and safety.
Purpose of the Study:
- To investigate the combined impact of PnG and CAVs on energy conservation and safety in mixed traffic flow.
- To analyze the effect of varying CAV sensing accuracies on fuel consumption and traffic conflicts.
- To provide a theoretical basis for sustainable transportation system transitions.
Main Methods:
- Simulated mixed traffic flow scenarios involving CAVs with different sensing accuracies.
- Integration of PnG driving strategy with CAVs.
- Analysis of fuel consumption, traffic conflicts, and operational efficiency.
Main Results:
- PnG achieved a maximum fuel-saving rate of 39.53% and reduced conflicts by approximately 30% compared to traditional driving.
- CAVs with enhanced sensor detection ranges improved operational safety and led to more uniform fuel consumption.
- Moderate PnG acceleration (1-2 m/s²) optimized fuel consumption and safety, potentially improving intersection efficiency.
Conclusions:
- Combining PnG with CAVs offers significant fuel savings and safety benefits in mixed traffic.
- CAV sensor accuracy is crucial for maximizing energy conservation and safety improvements.
- Optimized PnG strategies can enhance overall transportation system efficiency and sustainability.
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