Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data
<|reference_start|>Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data: Understanding motorist detouring behavior is critical for both traffic operations and planning applications. However, measuring real-world detouring behavior is challenging due to the need to track the movement of individual vehicles. Recent developments in high-resolution vehicle trajectory data have enabled transportation professionals to observe real-world detouring behaviors without the need to install and maintain hardware such as license plate reading cameras. This paper investigates the feasibility of vehicle probe trajectory data to capture commercial motor vehicle (CMV) detouring behavior under three unique case studies. Before doing so, a validation analysis was conducted to investigate the ability of CMV probe trajectory data to represent overall CMV volumes at well-calibrated count stations near virtual weigh stations (VWS) in Maryland. The validation analysis showed strong positive correlations (above 0.75) at all VWS stations. Upon validating the data, a methodology was applied to assess CMV detour behaviors associated with CMV enforcement activities, congestion avoidance, and incident induced temporary road closures.<|reference_end|>
@article{phd2024exploring,
    title={Exploring Commercial Vehicle Detouring Patterns through the Application
  of Probe Trajectory Data},
    author={Mark Franz PhD, Sara Zahedian PhD, Dhairya Parekh, Tahsin Emtenam PhD,
  Greg Jordan},
    journal={arXiv preprint arXiv:2407.17319},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.17319},
    primaryClass={cs.CE}
}