Secondary Speed Guidance Strategies at Signalized Intersections Considering Drivers’ Acceptance Level

In order to reduce the fuel consumption and emission of vehicles passing through signalized intersections, this paper takes manually-driven internet-connected vehicles as the research object under the environment of vehicle networking, and proposes a fuel-saving and emission reduction strategy for signalized intersections that takes into account driver acceptance and secondary guidance according to the traffic conditions and signal phases that the vehicles may face, establishes a corresponding guidance model, and verifies the effect of the strategy through numerical simulation. The results show that: the strict implementation of the primary guidance strategy can enable more vehicles to pass through the signalized intersection smoothly without stopping, optimize the vehicle trajectory, and thus achieve fuel saving and emission reduction; the acceptance level of the driver has a great negative impact on the primary guidance, which makes part of the strategy ineffective and brings about sudden changes in the speed of the vehicle, resulting in additional fuel consumption and emission; the secondary guidance can guarantee the effectiveness of the primary guidance, effectively mitigate the negative impact of the acceptance level, and achieve better fuel saving and emission reduction. Negative impact, and achieve better fuel saving and emission reduction benefits.