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NSF/USDOT Partnership for Exploratory Research - ICSST: Dynamic and Stochastic Vehicle Dispatching with Time Dependent Travel Times: The Next Generation of Algorithms

NSF/USDOT Partnership for Exploratory Research - ICSST: Dynamic and Stochastic Vehicle Dispatching with Time Dependent Travel Times: The Next Generation of Algorithms
NSF/USDOT 探索性研究合作伙伴关系 - ICSST:具有时间依赖性行程时间的动态和随机车辆调度:下一代算法
批准号:
0127969
负责人:
Amelia Regan
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-01-01 至 2003-09-30

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英文摘要
NSF/USDOT: Dynamic and Stochastic Vehicle Dispatching with Time Dependent Travel Times: The Next Generation of AlgorithmsResearchers have long understood that stochastic and time-dependent travel times, stochastic service or handling times and stochastic demand arrival patterns render schedules developed using static assignment models sub-optimal and often infeasible. Nonetheless, the development of alternative models and solution methods has proceeded at a relatively slow pace. The costs associated with these infeasibilities can be very high and are borne by commercial vehicle operators, their customers and society at large. This research represents a new generation of routing and scheduling models, ones that explicitly incorporate time-dependent and stochastic travel times, dynamic service requests and stochastic service times. The applications of interest are local truckload trucking operations, local less-than-truckload operations, local pickup and delivery operations and service fleets.
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NSF/USDOT: Modeling Matched Traffic and Accident Datasets to Significantly Improve Safety
  • 批准号:
    0338643
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2003
  • 负责人:
    Amelia Regan
  • 依托单位:
CAREER: Dynamic Freight and Fleet Management: Modeling, Algorithm Development and Implementation
  • 批准号:
    9875675
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    1999
  • 负责人:
    Amelia Regan
  • 依托单位:
海外基金