Impact of regional driving behavior differences on traffic flow

Area of Science:

• Traffic Engineering
• Transportation Science
• Behavioral Science

Background:

• Global traffic systems are predominantly right-hand traffic (RHT) with left-hand drive (LHD) vehicles (69%).
• A significant portion of countries use left-hand traffic (LHT) with right-hand drive (RHD) vehicles, creating mixed-traffic scenarios in border regions.
• The impact of mixed LHD and RHD vehicle traffic on traffic flow characteristics and safety is not well understood.

Purpose of the Study:

• To analyze individual driving behavior differences between LHD and RHD vehicles.
• To quantify the impact of these behavioral differences on traffic flow and road capacity.
• To develop a framework for analyzing mixed-traffic scenarios.

Main Methods:

• Utilized license plate recognition data from the Guangdong-Hong Kong-Macao Greater Bay Area.
• Developed an integrated macroscopic and microscopic traffic analysis framework.
• Analyzed real-world and simulated traffic conditions to assess driving behavior and traffic performance.

Main Results:

• Identified distinct and persistent driving behavior patterns between RHD and LHD vehicles.
• Quantified a reduction in road capacity by approximately 15% due to the coexistence of RHD and LHD vehicles.
• Demonstrated the long-term persistence of these behavioral differences.

Conclusions:

• Mixed traffic involving LHD and RHD vehicles significantly impacts traffic efficiency.
• Effective traffic management strategies must account for behavioral variations and the prevalence of heterogeneous vehicles.
• Further research into managing mixed-traffic environments is warranted.