Scholarlink

<p>Link traffic volume, which is crucial for transportation planning, requires sufficient observations while minimizing costs. When link traffic volume observations achieve screen-line coverage, all routes between Origin-Destination (OD) pairs can be monitored, enabling comprehensive network traffic analysis, including OD trip matrices. The screen-line traffic counting location problem is to determine the minimum set of links that effectively separate OD pairs. This paper extends the problem to real-world road networks where some links are already observed by pre-installed sensors. We formulate an additional sensor location problem that accounts for existing infrastructure to achieve complete screen-line observation. By applying our approach to the road network of Kochi Prefecture, we provide insights into the spatial relationship between current pre-installed sensors and optimal locations for additional observation sensors.</p>

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Empirical Analysis of Cut-Based Approach for Screen-line Traffic Counting Location Problem with Pre-Installed Sensors

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • Ruri Sase,
  • Satoshi Sugiura

摘要

Link traffic volume, which is crucial for transportation planning, requires sufficient observations while minimizing costs. When link traffic volume observations achieve screen-line coverage, all routes between Origin-Destination (OD) pairs can be monitored, enabling comprehensive network traffic analysis, including OD trip matrices. The screen-line traffic counting location problem is to determine the minimum set of links that effectively separate OD pairs. This paper extends the problem to real-world road networks where some links are already observed by pre-installed sensors. We formulate an additional sensor location problem that accounts for existing infrastructure to achieve complete screen-line observation. By applying our approach to the road network of Kochi Prefecture, we provide insights into the spatial relationship between current pre-installed sensors and optimal locations for additional observation sensors.