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This study examines the impacts of cooperative adaptive cruise control (CACC) and cooperative lane changing (CLC) on the delay and the riding comfort in autonomous car-autonomous truck (AC-AT) mixed traffic at a freeway merging area. For this task, AC-AT mixed traffic on a 5.25 km section of freeway was analyzed using the Aimsun Next microscopic traffic simulation. The effects of different CACC parameters and CLC on the average speed and acceleration distributions as the measures of delay and riding comfort, respectively, were evaluated. It was found that (1) lower sensitivity to the lead vehicle reduced the merging time, (2) shorter time gaps between autonomous vehicles and between platoons decreased the delay, and (3) longer time gaps reduced the delay at higher percentage of ATs. These results demonstrate that the delay of AC-AT mixed traffic at a freeway merging area can be reduced and riding comfort can be increased by adjusting CACC parameters. Key words: connected and autonomous vehicles, cooperative adaptive cruise control, cooperative lane-changing, truck, traffic simulation, Introduction Connected and autonomous vehicle (CAV) is an emerging vehicle technology that will bring significant benefits to traffic operation and safety in future transportation systems. CAVs can detect the surrounding [...]

Most car-following models have mainly focused on the effects of the lead vehicle on the target vehicle's behaviour or the driver's forward-looking effects, but not the effects of the vehicle behind the target vehicle (the following vehicle) or the driver's backward-looking effects. Therefore, this study proposes a data-driven car-following model that incorporates both backward- and forward-looking effects using a deep neural network (DNN). This model is called the "DNN with backward-looking effect (DNN-BE) model". The DNN-BE model produced higher prediction accuracy than the DNN model with forward-looking effects only and a conventional mathematical car-following model that considers both forward- and backward-looking effects. It was found that the target vehicle is more likely to accelerate when the spacing with the following vehicle is shorter and the spacing with the lead vehicle is longer. The result of permutation importance also shows that variables related to the following vehicle are more important when the spacing with the following vehicles is shorter. [ABSTRACT FROM AUTHOR]