Abstract:

To enhance the traffic efficiency of the upstream area of signalized intersections and reduce fuel consumption and emissions, this paper proposes a secondary speed guidance strategy considering the acceptance degree of drivers, aiming to address the issue of insufficient execution of guidance strategies by drivers in manual driving environments. The study focuses on manual driving connected vehicles, introduces the parameter of driver acceptance degree, and improves three primary guidance strategy models: acceleration guidance through, deceleration guidance through, and deceleration guidance to stop. Considering the impact of low driver acceptance, secondary acceleration guidance through and secondary deceleration guidance through models are constructed. A simulation environment is established using the MATLAB simulation platform, taking into account vehicle trajectory, speed, acceleration, and fuel consumption and emission factors. The effects of no speed guidance, primary guidance under different driver acceptance degrees, and secondary guidance are compared and analyzed. The simulation results show that strictly following the primary guidance strategy can enable more vehicles to pass through the intersection without stopping, improving traffic efficiency by approximately 14.3%, and reducing fuel consumption and emissions by 10% to 15%. Low driver acceptance has a significant negative impact on primary speed guidance, rendering the primary guidance strategy ineffective and causing additional fuel consumption and emissions. The secondary guidance strategy can effectively alleviate the impact of low driver acceptance, restoring traffic efficiency to over 95% of that of primary guidance and reducing fuel consumption and emissions by approximately 8% to 12%.

Key words: signalized intersection, speed secondary guidance, driver acceptance level, speed guidance model, simulation evaluation