Bi-objective vehicle routing problem for hazardous materials transportation

Bula, Gustavo Alfredo; Afsar, Hasan Murat; González, Fabio A.; Prodhon, Caroline; Velasco, Nubia

doi:10.1016/j.jclepro.2018.09.228

Cited by 54 publications

(28 citation statements)

References 21 publications

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“…In addition, the routing and scheduling of Hazmat transportation has also been widely investigated. Different routing optimization models, such as a game-theoretical model [19,20] and a multi-objective model [21][22][23][24], have been designed by considering the impact of different risk factors. Although useful and revealing, these studies paid more attention on the probability or injury severity of Hazmat accidents and provide limited information on the number of people evacuated due to the impact of Hazmat, which is another important and unique measure of Hazmat accident consequences [11].…”

Section: Introductionmentioning

confidence: 99%

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Xing

Chen

Zhu

et al. 2020

IJERPH

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With the increasing demand of hazardous material (Hazmat), traffic accidents occurred frequently during Hazmat transportation, which had caused widespread concern in communities. Therefore, a good understanding of Hazmat transportation accident characteristics and contributing factors is of practical importance. In this study, 1721 Hazmat accidents that have occurred during road transportation for the period 2014–2017 in China were examined, and a random-parameters ordered probit model was established to explore the influence of contributing factors on the severity of accidents by accounting for unobserved heterogeneity in the data. Both the injuries and the number of people evacuated were considered as the indicator of accident severity and investigated, respectively. Results show that higher injury severity is likely to be associated with type of Hazmat (compressed gas, explosive, and poison), misoperation, driver fatigue, speeding, tunnel, slope, county road, dry road surface, winter, dark, more than two vehicles, rear end crash, and explosion. As for the correlation between risk factors and the severity of evacuation, type of Hazmat (compressed gas, explosive, and poison), quantity of Hazmat (10–39 t), misoperation, county road, dry road surface, weekdays, dusk, explosion significantly contribute to increasing the severity of evacuation of Hazmat accidents.

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Section: Introductionmentioning

confidence: 99%

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Xing

Chen

Zhu

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Various studies have been recommended Exact approaches to solve the VRPT problem, [11,12,[18][19][20]. Also, As VRPT is a Np-Hard problem with the complicated calculation, many studies have focused on the heuristic algorithms [9,[21][22][23].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In most cases, heuristic algorithms are only able to solve the small-sized problems whereas most practical applications usually involve a large number of customers. Hence, some researchers tried to use the meta-heuristic algorithms in their studies [20,[25][26][27][28][29]. As one, the presented three-objective mathematical model by Jalili Ball et al [30] minimizes the total costs (cost of transportation and cost of delay) and total risks due to the time window limitation and the environmental factors to restore the balance of the allocated route to each vehicle.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

et al. 2020

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In the process of hazardous material transportation, the risk is a significant factor that should be considered due to the potential severe consequence of an incident. Regardless of risks, time is a paramount concern that should be considered in hazardous material transportation. In this way, this paper introduces a bi-objective model for a vehicle routing and scheduling problem of hazardous material distribution problems under the fuzzy condition to minimize both total distribution time and risks. In the proposed model, the fuzzy inference system and fuzzy failure mode and effects analysis are applied to identify and calculate the high-level risks instead of the previous simple methods for the first time. Moreover, Jimenez method and fuzzy goal programming are respectively utilized to convert the fuzzy bi-objective model into the same crisp and single-objective one. Besides, to cope with the NP-hardness of the largesized problems, two meta-heuristic algorithms namely invasive weeds optimization and genetic algorithm is used, and several sensitivity analyses are performed to prove the efficiency of the proposed approach. The performance of the proposed algorithms is also assessed through a comparative study. Finally, the proposed model is implemented to a real case study to prove the validity of the model.

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“…A variant of the variable neighbourhood search (VNS) algorithm is employed to solve the problem which integrates a variable neighbourhood descent algorithm for local search, and a perturbation mechanism (shaking neighbourhoods). Recently, they proposed a bi‐objective model based on the original research, which simultaneously minimises two conflicting objectives, the total routing risk and the total transportation cost [8]. To find non‐dominated solutions, a multi‐objective neighbourhood dominance‐based algorithm and an ɛ‐constraint meta‐heuristic algorithm were proposed.…”

Section: Introductionmentioning

confidence: 99%

“…It is unrealistic to consider only risk minimisation. Although safety is important, economic effect is also an optimisation object that cannot be ignored [8]. On the other hand, when assessing the transportation risk, relevant parameters tend to be uncertain.…”

Section: Introductionmentioning

confidence: 99%

Robust multi‐objective vehicle routing problem with time windows for hazardous materials transportation

Men

Jiang

et al. 2020

IET intell. transp. syst

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Bi-objective vehicle routing problem for hazardous materials transportation

Cited by 54 publications

References 21 publications

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

Exploring Risk Factors Contributing to the Severity of Hazardous Material Transportation Accidents in China

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

Robust multi‐objective vehicle routing problem with time windows for hazardous materials transportation

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