Collaborative Optimization Model of Truck Speed and Signal Timing Based on Minimum Fuel Consumption

This paper proposes an integer nonlinear programming model for collaborative optimization of truck speed and signal timing to reduce the fuel consumption caused by frequent stopping and start of trucks at signalized intersections. The objective function of the model was the truck travel fuel consumption based on the Virginia Tech Comprehensive Power-based Fuel Consumption Model. Truck travel fuel consumption included road fuel consumption, intersection stopping fuel consumption and speed recovery fuel consumption. The road section was divided into acceleration area, uniform speed area and deceleration area. Considering the acceleration process of the multi-gear gradient of the truck, the upper and lower limits of acceleration and shift time were defined for each gear of the truck. The queue dissipation process at the downstream intersection was analyzed using the traffic wave theory, and the space-time trajectory constraint of the truck was considered. The optimization variables include acceleration at each gear of the truck, acceleration time, uniform speed, uniform driving time, deceleration, deceleration time, intersection green light extension time and red light early return time. The example analysis included 10 typical truck arrival situations generated at uniform intervals. The results show that compared with no speed guidance, the fuel consumption from the proposed model is reduced by 29.9 % at the maximum, 3.9 % at minimum, and 13.7 % on average. The number of truck stops is reduced by 71.4 %, and the total stopping time is reduced by 174 seconds (89.2 %). The model effectively reduces the fuel consumption and number of stops for trucks crossing the intersections. © 2023 Science Press. All rights reserved.