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  • SAGE Publications  (3)
  • Mobility and traffic research  (3)
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  • SAGE Publications  (3)
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  • Mobility and traffic research  (3)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2011
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2234, No. 1 ( 2011-01), p. 31-40
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2234, No. 1 ( 2011-01), p. 31-40
    Abstract: This paper explores several reliability and vulnerability measures for transportation networks and proposes three models for optimal resource allocation for transportation network design or defense to minimize the disruption caused by both random and targeted attacks. The common day-to-day disturbances with less severe consequences are referred to as random attacks, but targeted attacks include both coordinated terrorist strikes and large-scale natural disasters. For random attacks, the major concern would be the reliability of the total system travel time. A robust discrete network design problem is formulated to take into account random attacks in the planning stage. The transport capacity or the unsatisfied demand would be critical in case of emergency evacuation, and law enforcement forces could be deployed to prevent malicious attacks in the first place or to ensure a smooth evacuation operation. The proposed models feature an intrinsic trilevel game structure of the network users, the attacker, and the defender (planner). By exploring the unique properties of the proposed measures and reformulating the problems, the trilevel structure models are reduced to mixed-integer semi-infinite optimization programs. This paper further applies an active-set algorithm, combined with a cutting-plane scheme to solve the proposed models. Numerical examples indicate that the proposed formulations are valid and that the solution algorithm can solve the problems effectively and efficiently. The models for targeted attacks provide practical implications on identifying critical infrastructures for evacuation.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
    detail.hit.zdb_id: 2403378-9
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2010
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2192, No. 1 ( 2010-01), p. 156-166
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2192, No. 1 ( 2010-01), p. 156-166
    Abstract: This paper formulates a scenario-based stochastic programming model to optimize the timing of pretimed signals along arterials under day-to-day demand variations or future uncertain traffic growth. Demand scenarios and their corresponding probabilities of occurrence are introduced to represent the demand uncertainty. On the basis of a cell-transmission representation of traffic dynamics, cycle length, green splits, phase sequences, and offsets are determined to minimize the expected delay incurred by high-consequence demand scenarios. A simulation-based genetic algorithm is proposed to solve the model, and a numerical example is presented to verify and validate the model.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2010
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2008
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2080, No. 1 ( 2008-01), p. 111-119
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2080, No. 1 ( 2008-01), p. 111-119
    Abstract: A robust approach is presented to synchronize actuated signals on arterials, mainly to address the issue of uncertain (not fixed) starts and ends of green of the sync phases. The robust counterpart of the mixed-integer linear programming model (MILP) for bandwidth maximization is developed to minimize the expected regret with respect to a set of high-consequence scenarios. The robust counterpart, another MILP, can be solved in polynomial time. Macroscopic and microscopic simulations are conducted to corroborate the validity and robustness of the resulting coordination plans.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2008
    detail.hit.zdb_id: 2403378-9
    Location Call Number Limitation Availability
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