Evaluation of transportation network reliability during unexpected events with multiple uncertainties

Soltani-Sobh, Ali; Heaslip, Kevin; Stevanovic, Aleksandar; Khoury, John El; Song, Ziqi

doi:10.1016/j.ijdrr.2016.04.011

Cited by 43 publications

(12 citation statements)

References 18 publications

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“…In the future, there is potential to assess the impacts of discount policies based on reliability estimation in the case of demand uncertainty or lacking probability data [50][51][52]. Also, addressing the same research problem with the dependent capacity [53] can get more realistic findings.…”

Section: Discussionmentioning

confidence: 99%

Assess the Impacts of Discount Policies on the Reliability of a Stochastic Air Transport Network

Nguyen

2021

Mathematics

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In this study, an algorithm for reliability evaluation is proposed in order to assess the discount policy based on its effect on an air transport network. An air transport network is a typical stochastic air transport network (SATN) because its capacity (available seats) is regarded as stochastic. Under different discount policies, the term “reliability” refers to the ability to meet a certain travel demand within a limited budget. To better describe the flow of SATN, the methods of the sum of disjoint products and minimal paths are combined in the proposed algorithm. A reliability analysis is conducted at ranges of budgets and travel demands for a more accurate assessment. The outcomes of this study help the travel agents assess and select an appropriate discount policy, which is one of the important contributions. This study also contributes to enhancing the reliability fluctuation under the impact of multiple discount policies.

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Section: Discussionmentioning

confidence: 99%

Assess the Impacts of Discount Policies on the Reliability of a Stochastic Air Transport Network

Nguyen

2021

Mathematics

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“…Despite the variety of possible reasons for disruption, their effects influence either the demand, the travel time, or the supply (capacity) of transportation. Whereas extensive literature about demand uncertainty in multimodal routing is available (see, e.g., Lium et al [48] and Ho et al [49]), the consideration of travel time and capacity uncertainty is rather limited [50,51]. Moreover, usually the models deal with only one source of uncertainty.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Using the widely utilized weighted sum method [43] defined in (51) and 52, we can solve the bi-objective 14 Complexity optimization problem and generate its Pareto solutions shown in Figure 7.…”

Section: Bi-objective Optimization Regarding Co 2 Emissionsmentioning

confidence: 99%

A Time‐Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion

et al. 2018

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This study explores an operational-level container routing problem in the road-rail multimodal service network. In response to the demand for an environmentally friendly transportation, we extend the problem into a green version by using both emission charging method and bi-objective optimization to optimize the CO2 emissions in the routing. Two uncertain factors, including capacity uncertainty of rail services and travel time uncertainty of road services, are formulated in order to improve the reliability of the routes. By using the triangular fuzzy numbers and time-dependent travel time to separately model the capacity uncertainty and travel time uncertainty, we establish a fuzzy chance-constrained mixed integer nonlinear programming model. A linearization-based exact solution strategy is designed, so that the problem can be effectively solved by any exact solution algorithm on any mathematical programming software. An empirical case is presented to demonstrate the feasibility of the proposed methods. In the case discussion, sensitivity analysis and bi-objective optimization analysis are used to find that the bi-objective optimization method is more effective than the emission charging method in lowering the CO2 emissions for the given case. Then, we combine sensitivity analysis and fuzzy simulation to identify the best confidence value in the fuzzy chance constraint. All the discussion will help decision makers to better organize the green multimodal transportation.

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“…For business operators with multiple roads in an area, the distribution of traffic on different lines will affect the total revenue and maintenance costs of the management [2] . However, whether the maintenance work is in place and whether the road surface is in good condition directly affects the traveler's driving effectiveness and cost, as well as the choice of roads [3] . Therefore, in this game problem, the game subject is the management department and the traveler.…”

Section: Introductionmentioning

confidence: 99%

A Decision-making method for the Application of Pavement Repair Materials Based on Stackelberg Model

Zhang¹,

Yu²,

Zhang³

2021

converter

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Highway repair cost mainly depends on the toll income, which in turn is associated with the traffic volume. Scientifically making decision for the application of repair materials is within the reasonable planning of managers regarding road maintenance scale and funds. For exploring effective strategy specific to the highway maintenance plan, the paper focuses on integrating the utility factor of traveler into the highway repair decision. Relevant problems are introduced, together with the establishment of the Stackelberg model. Considering the sensitivity analysis, the heuristic algorithm is employed specific to the traffic volume N. The paper solves the decision-making model with regard to the two expressways’ maintenance plan, as well as derives corresponding strategies. At last, the paper concludes, based on analyses, the general process regarding the maintenance decisions of multiple highways with the traffic volume N, assisting highway operators in making effective decisions.

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Evaluation of transportation network reliability during unexpected events with multiple uncertainties

Cited by 43 publications

References 18 publications

Assess the Impacts of Discount Policies on the Reliability of a Stochastic Air Transport Network

Assess the Impacts of Discount Policies on the Reliability of a Stochastic Air Transport Network

A Time‐Dependent Fuzzy Programming Approach for the Green Multimodal Routing Problem with Rail Service Capacity Uncertainty and Road Traffic Congestion

A Decision-making method for the Application of Pavement Repair Materials Based on Stackelberg Model

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