Abstract
Connected automated container trucks (CACTs) have been widely used at container ports in China to reduce labor costs and save energy. CACT lanes, as components of intelligent infrastructure, can accelerate the application of CACTs. However, the current layout schemes cannot effectively solve the spatiotemporal imbalance issues among traffic volumes during container transportation. In this study, optimal spatiotemporal layout schemes for exclusive CACT lanes are analyzed. Considering emission, construction and travel costs, a spatiotemporal optimization model of CACT lanes is established. A solution framework that combines the improved artificial bee colony algorithm and the simulation of urban mobility (SUMO) method is proposed. Finally, the road network of the Tianjin Port Container Terminal is used as a case study. The results indicate that establishing reasonable layout schemes for CACT lanes is important for enhancing traffic efficiency and reducing pollutant emissions.
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