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  • Feng, Lei  (4)
  • Mobility and traffic research  (4)
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  • Mobility and traffic research  (4)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2013
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2378, No. 1 ( 2013-01), p. 32-42
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2378, No. 1 ( 2013-01), p. 32-42
    Abstract: This paper extends the study of the inventory routing problem with slack maximization (IRPSM), which addresses the distribution of relief supplies in response to a sudden emergency. Compared with the classical routing problem, the objective of IRPSM is to maximize the slack in inventory, defined as the difference between the arrival time of new deliveries and the estimated time that the inventory will run out, rather than to minimize the total cost of delivery. Previous researchers have proposed a two-stage (scheduling and routing) solution framework, which was proved to be efficient to solve this problem. On the basis of this two-stage framework, this study developed an initial heuristic at the routing stage. With full realization of the limitations of the initial heuristic, an improved heuristic was proposed to prevent trapping of the solution at a local optimal condition. Compared with several existing solution algorithms, the results of a case study showed the effectiveness of the proposed heuristics.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2467, No. 1 ( 2014-01), p. 157-167
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2467, No. 1 ( 2014-01), p. 157-167
    Abstract: This paper addresses the problem of optimally routing and scheduling airport shuttle vehicles that offer pickup and drop-off services to customers through ridesharing. This problem, which is a version of the dial-a-ride problem, is formulated as a mixed integer program. For the solution, an exact approach applying constraint programming in a column generation framework and the adaptation of two existing heuristics are proposed. Implementations of the mathematical program and proposed solution approaches for three operational policies are presented. The performance of the proposed approaches in regard to computational requirements and solution quality was evaluated in a real-world case study involving service records for one service day out of Washington, D.C., Dulles International Airport in Chantilly, Virginia, provided by an actual airport shuttle service provider. Results show that the heuristics provide good approximations to the exact solution.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2015
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2532, No. 1 ( 2015-01), p. 118-128
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2532, No. 1 ( 2015-01), p. 118-128
    Abstract: A person with impaired mobility is one of the most vulnerable in emergencies. During an evacuation, the mobility-impaired need special arrangements while being transported to shelters and special accommodations during their shelter stays. When resources are limited, not all shelters can be specially equipped for low-mobility evacuees. The problem of simultaneously choosing a particular subset of shelters to equip, matching persons with impaired mobility to these shelters, and routing paratransit vehicles to bring passengers to shelters accordingly is addressed. The problem is formulated as a mixed-integer program, and a heuristic appropriate for solving real-world, large-scale instances is proposed. These solution strategies can form the basis of a practical tool to be used for evacuation planning. An evacuation scenario is constructed based on the basis of real-world evacuation zones, shelter locations, and population statistics for New York City, and this scenario is used to evaluate the heuristic.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2014
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2459, No. 1 ( 2014-01), p. 47-53
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2459, No. 1 ( 2014-01), p. 47-53
    Abstract: Mathematical models and solution frameworks are described for the assessment of command-and-control strategies in the centralized coordination of crowd movement. The effectiveness of several strategies–-from providing only information to reconfiguring the built environment through architectural design changes and forcing pedestrians to follow system-optimal evacuation routes–-is investigated and compared with the use of proposed mathematical formulations and computational solutions. These formulations and solutions are tested on an example network as an illustration. Differences in system performance under these strategies are assessed, and performance (as total travel time) is compared. Efficiency gains obtained with command-and-control strategies in crowd movement are investigated.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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