This study investigates the impact of Connected and Automated Vehicles (CAVs) on freeway merging, focusing on Cooperative Adaptive Cruise Control (CACC). By simulating mixed traffic scenarios on a calibrated I-70 segment in Kansas City, MO, the study evaluated key CAV parameters like intra-platoon headway, maximum platoon size, and desired platoon velocity under varying Market Penetration Rates (MPRs) and driving behaviors. Results showed that lower intra-platoon headways and higher MPRs significantly reduced travel time, increased throughput, and improved safe merging due to enhanced V2V communication. Sensitivity analysis revealed that CAVs positively influence merge bottlenecks, but achieving 100% MPR remains a challenge, with potential issues like ramp queue buildup observed at full MPR. The findings emphasize optimizing intra-platoon headways and re-evaluating CAV behaviors in car-following models to maximize the efficiency and safety benefits of future platooning technologies.


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    Title :

    Evaluating the Platooning Parameters and Future Impacts of CAVs at Freeway Merging Segments



    Conference:

    International Conference on Transportation and Development 2025 ; 2025 ; Glendale, Arizona



    Publication date :

    2025-06-05




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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