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It is essential for transportation management centers to equip and manage a network of fixed and mobile sensors in order to quickly detect traffic incidents and further monitor the related

It is essential for transportation management centers to equip and manage a network of fixed and mobile sensors in order to quickly detect traffic incidents and further monitor the related impact areas, especially for high-impact accidents with dramatic traffic congestion propagation. As emerging small Unmanned Aerial Vehicles (UAVs) start to have a more flexible regulation environment, it is critically important to fully explore the potential for of using UAVs for monitoring recurring and non-recurring traffic conditions and special events on transportation networks.

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    Date Created
    • 2015-06-01
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.3390/s150613874
    • Identifier Type
      International standard serial number
      Identifier Value
      1424-8220

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    Zhang, Jisheng, Jia, Limin, Niu, Shuyun, Zhang, Fan, Tong, Lu, & Zhou, Xuesong (2015). A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications. SENSORS, 15(6), 13874-13898. http://dx.doi.org/10.3390/s150613874

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