Abstract
Automated truck lanes (ATL) is a future technology for alleviating high proportion of truck usage. This paper proposes a hybrid microscopic-mesoscopic traffic simulator that can be used to precisely estimate the changes in traffic flows that would result from introduction of ATL on large-scale road networks. An integration framework is designed to ensure consistency of route choice and synchronization between mesoscopic and microscopic simulators. Microscopic car-following and lane-changing models are extended to reflect detailed interactions between cars and trucks. Three cases are simulated to evaluate the impact of ATL on traffic flows, proportion of trucks, travel time, and performance in total travel time saving. Finally, an analysis of safety and the effect of road incidents on travel time are also conducted using the hybrid simulator. Simulation results indicate that ATL can change traffic volumes not only on the expressway itself (New Tomei-Meishin Expressway) but also on the other expressways in the network, leading to shorter travel times and improved safety. For a more precise evaluation, the ATL system should be analyzed as part of a large-scale road network.
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