Multi-intersection platoon ecological speed planning strategy and method for autonomous driving simulation testing

With the rapid development of Internet of Vehicles (IoV) technology, ecological speed planning has become a critical challenge in eco-driving, particularly in reducing energy consumption and improving the efficiency of autonomous vehicles. A key research focus is how to achieve energy savings and emission reductions by optimizing driving speed under various complex conditions, while simultaneously ensuring driving comfort and traffic efficiency. In view of this, a multi-intersection ecological speed planning strategy and method for autonomous platoon is proposed, aiming to reduce speed fluctuations and energy consumption of autonomous platoon in multiple driving scenarios. Firstly, the scenarios of platoon passing through the current intersection and its downstream intersection are analyzed, and then, the strategies for the platoon to pass through the current and its downstream intersections are proposed, including constant speed strategy (CSS) and segmented speed strategy (SSS). Moreover, the platoon ecological speed planning method is presented, which includes the calculation of the passage period, the capacity in the passage period of the intersections, and the platoon ecological speed. Finally, different simulation situations are designed in view of different ecological speed strategies, and compared with the single intersection platoon speed strategy (SIPSS) and the no speed strategy (NSS). The results indicate that the CSS and the SSS can mitigate the speed fluctuations of the platoon through intersections, reduce the fuel consumption and delay time, and outperform the SIPSS and NSS. Especially in the current intersection with a queuing platoon, the proposed strategy reduces fuel consumption and delay time by up to 67.21 % and 2.74 %, respectively.