Aug 2026· International Conference on Electromechanical Control Technology and Transportation· Vol 14324, pp. 143240E - 143240E-7· 0 citations· 16 references
Engineering
Abstract
Vehicle speed planning is important for eco-driving on signalized roads. Vehicles often slow down, stop, and restart near traffic lights. These actions increase energy use and reduce smoothness. This study proposes a genetic algorithm (GA)- based multi-objective speed optimization method for a signalized corridor. The road is divided into segments, and each segment has one speed variable. The objectives are travel time, energy use, and comfort cost. A multi-objective genetic algorithm is used to obtain Pareto solutions. The best compromise solution is selected by the normalized distance to the ideal point. The results show a clear trade-off among time, energy, and comfort. Shorter travel time usually needs higher energy use and larger speed changes. The Pareto set also shows different driving patterns through distribution, correlation, anomaly, and cluster analyses.
Eco-driving technology is the core means to improve the energy economy and traffic efficiency of connected hybrid electric vehicles. Existing studies mostly focus on the coupling of speed planning and energy management in car-following scenarios, and there are still deficiencies in relevant research on fuel cell hybrid...
Cheng-Yu Jiang, Hao-Xiang Shi, Jie Zhang et al.· Proceedings of the Instituti...· 0 citations
This investigation offers a novel technical methodology for urban traffic signal regulation and advanced intelligent transportation governance that significantly enhances the functional efficiency of urban transportation systems and attains multi-objective collaborative optimization of traffic flow, energy efficiency,...
Xin Yu· International Conference on...· 0 citations
Timely delivery is the core goal of logistics business and directly affects customer satisfaction and loyalty. However, uncertain factors such as road damage, traffic congestion and traffic accidents often make it impossible to deliver on time by the shortest path. To this end, this paper proposes a path optimization a...
Under the background of the “dual-carbon” strategy, new energy logistics vehicles have become increasingly important in urban distribution systems due to their environmental friendliness and low operating emissions. However, compared with conventional fuel vehicles, their routing and scheduling are more strongly constr...
Chun-Hui Wang· International Conference on...· 0 citations
To solve the problems of low utilization of tolled tidal lanes and the waste of resources caused by traffic congestion, this paper proposes a tidal lane setting model combining multi-scale LSTM-GASVR and multi-objective optimization. Based on survey data and historical traffic data from expressway toll stations in Shaa...
Xin Cheng, Jing-Mei Zhou, Jing Chen et al.· International Conference on...· 0 citations
A logistics distribution path optimization method based on soft time windows and hill climbing genetic algorithms is proposed to reduce costs and achieve low-carbon transport. Experimental results show the improved algorithm converges after 20 iterations with a fitness of 4.93×10⁵, lower than others. It averages 20 ite...
Li-Min Han· International Journal of Ind...· 0 citations
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