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Zhen Zhou - One of the best experts on this subject based on the ideXlab platform.
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A New Efficient Algorithm for Hazardous Material Transportation Problem via Lane Reservation
IEEE Access, 2019Co-Authors: Zhen Zhou, Peng Wu, Bo Li, Yunfei FangAbstract:Hazardous Material transportation is well-known for its high potential risk. Minimizing the transportation risk is an important issue for Hazardous Material transportation. This paper focuses on a novel algorithm for the Hazardous Material transportation problem via lane reservation, whose goal is to obtain a best compromise between the impact on normal traffic due to lane reservation and the transportation risk. Firstly, a bi-objective integer programming model for the considered problem is formulated and transformed into a series of single objective models by ε-constraint method. For the transformed single objective models, a cut-and-solve and cutting plane combined method is proposed to reduce the computational time. The performance of the proposed algorithm is evaluated by an instance using a real network topology and randomly generated instances. Computational results demonstrate that the cut-and-solve and cutting plane combined method runs faster than direct use of software package CPLEX.
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Model and Method for Bi-objective Hazardous Material Transportation Problem based on Lane Reservation*
2019 International Conference on Industrial Engineering and Systems Management (IESM), 2019Co-Authors: Zhen Zhou, Shusong Tang, Yunfei FangAbstract:This paper investigates Hazardous Material transportation problem involving the lane reservation strategy. The strategy of reserving the lanes on some road segments for Hazardous Material transportation can reduce the transportation risk, but it will also affect the normal traffic. The considered problem is to choose lanes to be reserved on the network and select the path for each Hazardous Material shipment, with the aim of both minimizing the transportation risk and minimizing the impact of reserved lanes on normal traffic. A bi-objective model is developed for the considered problem, and then an improved ε-constraint method is proposed for obtaining all Pareto optimal solutions. The performance of the proposed algorithm is evaluated by randomly generated instances. Computational results demonstrate that for the considered problems, the improved ε-constraint method can solve all Pareto optimal solutions within a reasonable time.
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varepsilon constraint and fuzzy logic based optimization of Hazardous Material transportation via lane reservation
IEEE Transactions on Intelligent Transportation Systems, 2013Co-Authors: Zhen Zhou, Mengchu ZhouAbstract:With economic development, a great amount of Hazardous Material is shipped in the transport network every day. Hazardous Material transportation is well known for its high potential risk. An accident can cause very serious economic damage and will have a negative impact on public health and the environment over the long term. Transporting Hazardous Materials on special lanes can reduce the risk. However, a lane reservation strategy may worsen traffic conditions for other vehicles. This paper investigates a Hazardous Material transportation problem with lane reservation. The problem lies in how to choose lanes to be reserved in the network and select the path for each Hazardous Material shipment from the reserved lanes. The goal is to obtain the best compromise between the impact on normal traffic and the transportation risk. A multiobjective integer programming model is presented for the new problem. Then, an algorithm is developed based on the e -constraint method and a fuzzy-logic-based approach. Pareto optimal solutions are obtained by the former, and a preferred solution is selected by the fuzzy-logic-based approach. Computational results demonstrate the efficiency of the proposed algorithm using an instance based on a real network topology and randomly generated instances.
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$\varepsilon$-Constraint and Fuzzy Logic-Based Optimization of Hazardous Material Transportation via Lane Reservation
IEEE Transactions on Intelligent Transportation Systems, 2013Co-Authors: Zhen Zhou, Mengchu ZhouAbstract:With economic development, a great amount of Hazardous Material is shipped in the transport network every day. Hazardous Material transportation is well known for its high potential risk. An accident can cause very serious economic damage and will have a negative impact on public health and the environment over the long term. Transporting Hazardous Materials on special lanes can reduce the risk. However, a lane reservation strategy may worsen traffic conditions for other vehicles. This paper investigates a Hazardous Material transportation problem with lane reservation. The problem lies in how to choose lanes to be reserved in the network and select the path for each Hazardous Material shipment from the reserved lanes. The goal is to obtain the best compromise between the impact on normal traffic and the transportation risk. A multiobjective integer programming model is presented for the new problem. Then, an algorithm is developed based on the ε -constraint method and a fuzzy-logic-based approach. Pareto optimal solutions are obtained by the former, and a preferred solution is selected by the fuzzy-logic-based approach. Computational results demonstrate the efficiency of the proposed algorithm using an instance based on a real network topology and randomly generated instances.
Rojee Pradhananga - One of the best experts on this subject based on the ideXlab platform.
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A Risk Based Vehicle Routing and Scheduling Problem with Time Windows in Hazardous Material Transportation
2020Co-Authors: Rojee Pradhananga, Tadashi Yamada, Eiichi Taniguchi, Ali Gul QureshiAbstract:Unlike normal traffic incidents, incidents involving Hazardous Material are associated with significant traffic delays. As highways in cities are getting more and more crowded, monetary loss of the delay is getting massive. The formulation of the Hazardous Material routing and scheduling problem presented in this paper considers such potential effect of a Hazardous Material incident, in addition to the traditionally considered risk to exposed population. Loss due to congestion created by the incident is used as its measure. The objective is to minimize sum of the population-based and congestion-based risk cost. The model was used to explore routing and scheduling in a virtual instance of Hazardous Material transportation derived from road network of Osaka City, Japan. The problem was solved using Ant Colony System-based algorithms and was compared with optimal routes obtained considering population-based and congestion-based risk, respectively, as the sole criterion. The comparison showed that the model provides a better alternative to the conventional population-based model as it gives compromised optimal solution avoiding paths that causes large increase of the congestion-based cost.
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environmental analysis of pareto optimal routes in Hazardous Material transportation
Procedia - Social and Behavioral Sciences, 2014Co-Authors: Rojee Pradhananga, Tadashi Yamada, Eiichi Taniguchi, Ali Gul QureshiAbstract:This paper presents environmental analysis of the Pareto optimal solutions of a bi-objective Hazardous Material Vehicle Routing and Scheduling Problem with Time Windows (HVRPTW) logistics instance derived from road network of Osaka city, Japan. Environmental emissions of CO2, NOx and SPM corresponding to the Pareto optimal solutions were determined and compared in terms of the total emission values and the intensities of emissions on various links used in the solutions.
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optimisation model for Hazardous Material transport routing in thailand
International Journal of Logistics Systems and Management, 2011Co-Authors: Rojee Pradhananga, Shinya Hanaoka, Watchara SattayaprasertAbstract:This paper introduces an optimisation model for transportation of the Hazardous Material (Hazmat). The focus is on application to developing countries like Thailand. The objective of the proposed Vehicle Routing Problem with Time Window (VRPTW) model for Hazmat routing is to minimise the economic and risk costs using available data and information for the case study. Genetic Algorithm (GA) is used to solve the model. Results in application to the case study showed its effective performance both in economic as well as safety aspects providing a useful approach for number of companies involved in Hazmat transport activities in developing countries.
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Ant colony system based routing and scheduling for Hazardous Material transportation
Procedia - Social and Behavioral Sciences, 2010Co-Authors: Rojee Pradhananga, Eiichi Taniguchi, Tadashi YamadaAbstract:This paper presents a new meta-heuristic algorithm using an ant colony system (ACS) for multi-objective optimisation of Hazardous Material (HAZMAT) transportation. We focus on the vehicle routing problem with time windows (VRPTW) aspect of HAZMAT transportation problem. A VRPTW formulation considering multiple attributes in application to HAZMAT transportation is provided. ACS in the proposed algorithm works in the framework of pareto-optimisation for routing and integrates a labelling algorithm for finding non-dominated paths for path choice purpose. Validity of the algorithm has been tested by applying it to several VRPTW benchmark problems. Results show that the proposed algorithm performs quite satisfactorily to the wide variety of VRPTW problems. © 2010 Elsevier Ltd. All rights reserved.
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ant colony system based routing and scheduling for Hazardous Material transportation
Procedia - Social and Behavioral Sciences, 2010Co-Authors: Rojee Pradhananga, Eiichi Taniguchi, Tadashi YamadaAbstract:This paper presents a new meta-heuristic algorithm using an ant colony system (ACS) for multi-objective optimisation of Hazardous Material (HAZMAT) transportation. We focus on the vehicle routing problem with time windows (VRPTW) aspect of HAZMAT transportation problem. A VRPTW formulation considering multiple attributes in application to HAZMAT transportation is provided. ACS in the proposed algorithm works in the framework of pareto-optimisation for routing and integrates a labelling algorithm for finding non-dominated paths for path choice purpose. Validity of the algorithm has been tested by applying it to several VRPTW benchmark problems. Results show that the proposed algorithm performs quite satisfactorily to the wide variety of VRPTW problems.
Roberto Sacile - One of the best experts on this subject based on the ideXlab platform.
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Risk analysis for Hazardous Material transport by road: case study on Tangier-Tetouan region, Morocco
2018 13th Annual Conference on System of Systems Engineering (SoSE), 2018Co-Authors: Abdellatif Soussi, Dounia Bouchta, Ahmed El Amarti, Hamid Seghiouer, Chiara Bersani, Massimo D’incà, Roberto Sacile, Anita Trotta, Enrico ZeroAbstract:- From a System of System (SoS) perspective, quantitative risk assessment in Hazardous Material transportation presents several specific criticism. The Quantitative Risk Analysis (QRA) methodology requires elaborating large amount of data to estimate the frequency and the consequences of each accidental scenario which involves Hazardous Material. In this paper, a Quantitative Risk Analysis methodology dedicated to hazmat road transport based on simplified approach is presented. The frequency analysis is realized by considering preselected event tree schemes for hazmat product. The consequences analysis is based on the innovative Speditive method to compute impact areas. Societal risk measures have been performed to compare the risk to transport gasoline by tank trucks covering two alternative paths from the Med Tangier Port to Tangier in the Tangier-Tetouan region, in Morocco.
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towards dynamic exposure based schedule for Hazardous Material trains
Journal of Rail Transport Planning & Management, 2016Co-Authors: Chiara Bersani, Roberto Sacile, Mohamed Sallak, Federico Papa, Stefano TerribileAbstract:Hazardous Materials (hazmat) transport by rail can expose people living and working in the neighborhood of the railway to fatal risks. Despite the similarities with hazmat transport by road, hazmat transport by rail is subject to stricter schedule constraints, involving a well-defined path and a related timetable. While an alternative railway routing is not always available, it would be possible to define timetables in order to decrease risk. This approach requires the information about the dynamics of the population in the neighborhood of the railway. In this paper, an approach is proposed to show how variations of the timetable can sensibly decrease the average and maximum exposure. The methodology is proposed on an Italian rail section subject to different anthropogenic activities.
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on the application of valuation based systems in the assessment of the probability bounds of Hazardous Material transportation accidents occurrence
Safety Science, 2015Co-Authors: Roberto Sacile, Mohamed Sallak, Walter SchonAbstract:An important issue in Hazardous Material (hazmat) transportation risk assessment is to evaluate the probability bounds of accidents occurrence, whose values are difficult to be estimated due to its low frequency and the related lack of statistical data. This paper presents an original approach to integrate uncertainty in the quantitative analysis of hazmat transportation accidents. The proposed approach is based on the use of Valuation-Based Systems (VBSs) and belief functions theory. Furthermore, we propose to identify the factors for which the reduction of epistemic uncertainty (imprecision) gives the greatest impact on the uncertainty of the final results by using some proposed measures. The applicability and generality of the proposed approach is demonstrated on a case study.
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risk evaluation of real time accident scenarios in the transport of Hazardous Material on road
Management of Environmental Quality: An International Journal, 2010Co-Authors: Angela Maria Tomasoni, Emmanuel Garbolino, Massimo Rovatti, Roberto SacileAbstract:Purpose – This paper seeks to tackle the complex problem of integrating real‐time data information about the tracking of a Hazardous Material (hazmat) vehicle with classical risk evaluation methodologies in order to describe possible accident scenarios. The application deals with the transport of hydrocarbon dangerous goods, where the accident consequences may involve the population exposed along the infrastructure used for transportation.Design/methodology/approach – The approach taken consists of three phases. First, the acquisition of real‐time data about the travel and the carried hazmat; second, the evaluation of the risk area; and finally, a Geographic Information System (GIS) are taken into account.Findings – The findings of this analysis constitute the methodological basis to implement a decision support system as regards hazmat transport risk analysis, also in real time, with important evaluations for planning criteria. Using TIP (Transport Integrated Platform), the data collection is received in...
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A distributed information system prototype to detect and monitor the Hazardous Material Transport on the road in the territory of Nice-Imperia-Ventimiglia
2007Co-Authors: Mauro Benza, Chiara Bersani, Roberto Sacile, Angela Maria Tomasoni, Emmanuel Garbolino, Davide Giglio, Samuel Olampi, Eva TrasforiniAbstract:This paper aims to present a Decision Support System (DSS) for the detection and monitoring of Hazardous Material (hazmat) transportation on the road infrastructure Nice-Imperia-Savona between France and Italy developed in the TMD-NIS Interreg IIIA Alcotra Project. The final objective of the TMD-NIS project is to determine the most effective information and communication technologies and common operation strategies applicable in hazmat management in order to minimize the hazmat transport risk and to improve the road infrastructure safety conditions. An integrated and comparative assessment of two alternative technologies has been performed by the partners of the project: an image processing system to identify the ONU codes on the hazmat plates installed on each truck has been tested in France, while an on-board computer system to store and transmit information related to the hazmat physical conditions, vehicles locations and performance measures has been implemented in Italy. The collaboration between the different research institutions and the complementarities of the two specific approaches to define and monitor the hazmat vehicle flows allow comparison and validation of the acquired data related to the type, the amount and the itineraries of the hazmat vehicles which cover the trans-border road infrastructures daily. At present, the TMD-NIS project also provides a GIS utility, available on the web, to track in real-time hazmat vehicles, to analyse data about hazmat flows and to visualize the risk index for the highway from the toolbar barriers of St. Isidore (Nice) to the Ventimille.
Rajan Batta - One of the best experts on this subject based on the ideXlab platform.
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value at risk model for Hazardous Material transportation
Annals of Operations Research, 2014Co-Authors: Yingying Kang, Rajan Batta, Changhyun KwonAbstract:This paper introduces a Value-at-Risk (VaR) model to generate route choices for a hazmat shipment based on a specified risk confidence level. VaR is a threshold value such that the probability of the loss exceeding the VaR value is less than a given probability level. The objective is to determine a route which minimizes the likelihood that the risk will be greater than a set threshold. Several properties of the VaR model are established. An exact solution procedure is proposed and tested to solve the single-trip problem. To test the applicability of the approach, routes obtained from the VaR model are compared with those obtained from other hazmat objectives, on a numerical example as well as a hazmat routing scenario derived from the Albany district of New York State. Depending on the choice of the confidence level, the VaR model gives different paths from which we conclude that the route choice is a function of the level of risk tolerance of the decision-maker. Further refinements of the VaR model are also discussed.
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generalized route planning model for Hazardous Material transportation with var and equity considerations
Computers & Operations Research, 2014Co-Authors: Yingying Kang, Rajan Batta, Changhyun KwonAbstract:Recently, the Value-at-Risk (VaR) framework was introduced for the routing problem of a single hazmat trip. In this paper, we extend the VaR framework in two important ways. First, we show how to apply the VaR concept to a more realistic multi-trip multi-hazmat type framework, which determines routes that minimize the global VaR value while satisfying equity constraints. Second, we show how to embed the algorithm for the single hazmat trip problem into a Lagrangian relaxation framework to obtain an efficient solution method for this general case. We test our computational experience based on a real-life hazmat routing scenario in the Albany district of New York State. Our results indicate that one can achieve a high degree of risk dispersion while controlling the VaR value within the desired confidence level.
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spatial decision support system for Hazardous Material truck routing
Transportation Research Part C-emerging Technologies, 2000Co-Authors: William C Frank, Jeanclaude Thill, Rajan BattaAbstract:Shipping Hazardous Material (hazmat) places the public at risk. People who live or work near roads commonly traveled by hazmat trucks endure the greatest risk. Careful selection of roads used for a hazmat shipment can reduce the population at risk. On the other hand, a least time route will often consist of urban interstate, thus placing many people in harms way. Route selection is therefore the process of resolving the conflict between population at risk and efficiency considerations. To assist in resolving this conflict, a working spatial decision support system (SDSS) called Hazmat Path is developed. The proposed hazmat routing SDSS overcomes three significant challenges, namely handling a realistic network, offering sophisticated route generating heuristics and functioning on a desktop personal computer. The paper discusses creative approaches to data manipulation, data and solution visualization, user interfaces, and optimization heuristics implemented in Hazmat Path to meet these challenges.
Christina Baxter - One of the best experts on this subject based on the ideXlab platform.
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Understanding skin absorption of common aldehyde vapours from exposure during Hazardous Material incidents
Journal of Exposure Science & Environmental Epidemiology, 2020Co-Authors: Leigh Thredgold, Sharyn Gaskin, Linda Heath, Dino Pisaniello, Michael Logan, Christina BaxterAbstract:The toxic release of aldehyde vapours during a Hazardous Material (HAZMAT) incident primarily results in respiratory concerns for the unprotected public. However, skin absorption may be an important concurrent exposure route that is poorly understood for this scenario. This study provides experimental data on the skin absorption properties of common aldehydes used in industry, including acetaldehyde, acrolein, benzaldehyde and formaldehyde, in gaseous or vapour form using an adapted in vitro technique. Two of the four tested aldehydes were found to penetrate the skin in appreciable amounts following 30-min exposure at HAZMAT relevant atmospheric concentrations: acetaldehyde (5.29 ± 3.24 µg/cm^2) and formaldehyde (3.45 ± 2.58 µg/cm^2). Whereas only low levels of acrolein (0.480 ± 0.417 µg/cm^2) and benzaldehyde (1.46 ± 0.393 µg/cm^2) skin penetration was noted. The aldehydes demonstrated differing levels of interaction with fabric. Formaldehyde and acetaldehyde adsorbed strongly to denim, whereas benzaldehyde and acrolein displayed no sink properties. However, denim was shown to be an initial protective barrier and reduced penetration outcomes for all aldehydes. This study provides important information to assist first responders and confirms the relevance of using physicochemical properties (e.g. solubility, molecular weight, partition coefficient) to predict skin permeation potential in the absence of empirical data during HAZMAT incidents involving different types of aldehydes.
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dermal absorption of fumigant gases during hazmat incident exposure scenarios methyl bromide sulfuryl fluoride and chloropicrin
Toxicology and Industrial Health, 2017Co-Authors: Sharyn Gaskin, Linda Heath, Dino Pisaniello, Michael Logan, John W Edwards, Christina BaxterAbstract:Accidental or intentional releases of toxic gases or vapors are the most common occurrence in Hazardous Material (HAZMAT) incidents that result in human injuries. The most serious hazard from expos...
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application of skin contamination studies of ammonia gas for management of Hazardous Material incidents
Journal of Hazardous Materials, 2013Co-Authors: Sharyn Gaskin, Dino Pisaniello, Michael Logan, John W Edwards, David Bromwich, Sue Reed, Christina BaxterAbstract:Abstract In an atmospheric HAZMAT release unprotected public dermal exposure is often of short duration, but with potential secondary exposure if not decontaminated promptly. Mass decontamination is resource intensive and needs to be justified. For many HAZMAT agents there is no evidence-base on which to provide guidance on decontamination, particularly for non-symptomatic worried well. It is important to understand the influence of street clothing and environmental and other factors. Ammonia is a common HAZMAT agent and was selected for in vitro human skin studies of absorption, penetration and off-gassing at test concentrations up to 2000 ppm, incorporating primary and secondary exposure combinations up to 60 min. Intact skin provided a good barrier to ammonia penetration. Heavy street clothing such as denim was found to act as an initial barrier to skin absorption but subsequently as a reservoir for secondary exposure, under variable temperature and humidity conditions. Rapid off-gassing was observed for lighter fabrics including polyester and cotton. The findings here have been summarized as a set of practical guidelines for emergency responders who are required to make decisions about ammonia decontamination including for non-symptomatic individuals. This evidence-based diagrammatic approach allows for specific actions based on different atmospheric ammonia concentrations and other parameters.
