American Journal of Traffic and Transportation Engineering

Archive

Volume 4, Issue 4, July 2019

  • Experimental Validation for Globally Optimized Tractor-Trailer Base Flaps

    Jacob Andrew Freeman, Mark Franklin Reeder, Anna Christine Demoret

    Issue: Volume 4, Issue 4, July 2019
    Pages: 103-117
    Received: 2 July 2019
    Accepted: 25 July 2019
    Published: 13 August 2019
    DOI: 10.11648/j.ajtte.20190404.11
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    Abstract: Using wind-tunnel testing, this study validates a design that was globally optimized under uncertainty and used computational fluid dynamics. The computational study determined a design for a 3-D tractor-trailer base (back-end) drag-reduction device that reduces the wind-averaged drag coefficient by 41% at 57 mph (92 km/h). The wind-tunnel testing ... Show More
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  • Determining Optimal Tolling Rates for Border Regions Using Dynamic Modeling Methods

    Jeffrey Shelton, Peter Martin

    Issue: Volume 4, Issue 4, July 2019
    Pages: 118-131
    Received: 21 May 2019
    Accepted: 23 July 2019
    Published: 14 August 2019
    DOI: 10.11648/j.ajtte.20190404.12
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    Abstract: Many toll facilities have been faced with traffic shortfalls due to inaccurate and over-forecasted toll revenue projections. Therefore calculating optimal toll rates can be a difficult process. Toll rates are often set to reflect the revenue needed to pay back bonds issued to finance the roadway. This research provides an alternative approach to ca... Show More
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  • Innovation Mechanism of Traffic Demand Management

    Qingyin Li, Zhongjiao Xie, Yongqing Guo, Fulu Wei, Yan Tian, Yanfeng Zhang, Chaoran Wang

    Issue: Volume 4, Issue 4, July 2019
    Pages: 132-136
    Received: 7 July 2019
    Accepted: 13 August 2019
    Published: 26 August 2019
    DOI: 10.11648/j.ajtte.20190404.13
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    Abstract: Traffic demand management is an effective way to solve the problem of urban traffic congestion. Due to the effects of the social economic development, population quality, scientific and technological level and other related factors, the existing traffic demand management systems are lack of effective coordination and management mechanism. Although ... Show More
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