A Transport Mode Selection Method for Multimodal Transportation Based on an Adaptive ANN System

Qu, Lili; Chen, Yan; Mu, Xiaomin

doi:10.1109/icnc.2008.165

Cited by 21 publications

(10 citation statements)

References 13 publications

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“…In addition, the optimization objects of the model include time, risk, carbon emission and environmental protection (Choong et al 2002;Verma, Verter 2010;Verma et al 2012;Demir et al 2016;Jiang, Zhang 2016;Seo et al 2017;Xia et al 2019). In terms of model establishment, the models are mainly in the form of integer programming, multi-model decisionmaking and mixed integer programming (Choong et al 2002;Qu et al 2008;Bierwirth et al 2012;Demir et al 2016). In algorithm design, adaptive neural network system, iterative decomposition method, tabu search algorithm and other heuristic algorithms are used to solve the problem (Qu et al 2008;Verma, Verter 2010;Verma et al 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Attraction Area Division and Freight Flow Organization Optimization of Inland Railway Container Terminal

Yin

Wang

et al. 2021

Transport

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The attraction area division is the foundation of distribution and organization of freight flow among railway stations. The development of railway container terminal, large railway freight distribution center, is closely related to logistics planning and economy development of local city. In this study, we divide freight flow attraction area of inland railway container terminal by using gravity model, break-point model and weighted-Voronoi-diagram with SPSS and ArcGIS. And then under the target of minimal cost and time window limitations, we develop 0–1 integer programming model for freight flow organization optimization between inland terminal and its attraction area. Finally, this paper takes railway container terminal in Harbin as an example to test model feasibility under different speeds from different transportation modes. The results show that it is necessary to divide attraction area when choosing reasonable transportation mode from feeder nodes to railway container terminal. The improvement of feeder transportation speed is an effective method to improve freight volume, increase railway revenue and realize sustainable development of China Railway (CR) Express.

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Section: Literature Reviewmentioning

confidence: 99%

Attraction Area Division and Freight Flow Organization Optimization of Inland Railway Container Terminal

Yin

Wang

et al. 2021

Transport

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“…It has been found that all three models have almost 100% prediction accuracy at aggregate level. Qu et al (2008) set up Hybrid Multicriteria Decision Making (MCDM) on the basis of fuzzy analytic hierarchy process (AHP) and artificial neural net work (A NN) theory for route selection of multimodal transportation network. Sadeghi-Niaraki et al (2010) used multidimensional variables combined with multi-dimensional cost model (MCDM) to develop a road network cost function for route finding analysis in Iran.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimation of Optimal Path on Urban Road Networks Using Ahp Algorithm

Parbat¹

2016

IJTTE

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This paper describes to develop a multi criteria decision based methodology to find optimal path in real urban road network. Over the year several studies were conducted but most of which rely on single variable like travel distance or travel time as cost function. In this study, seven different attributes influencing the traffic network i.e. distance, time, traffic volume, road width, no. of intersection, parking and encroachment on road are used to define cost function using multi criterion decision making approach. These variables are combined using a Multi-Dimensional Cost Model (MDCM) using the Analytical Hierarchical Process (AHP). The models developed were implemented and closely evaluated in Nagpur city of India. Model is considered for determining optimal path between various Origins and Destinations in real urban traffic network. Composite weighted AHP scored were used to generate AHP decision surface. Finally, the best decision was proposed by generating the least cost path which is considered as optimal path. The resulting routes showed to be more accurate than those obtained utilizing one-dimensional cost functions and AHP is found to be effective tool to deal with optimal route selection problem.

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“…Qu et al (2008) [7] stated that multimodal transportation is a complex network, in which all the components should be seamlessly linked and efficiently coordinated. The transport mode selection in multimodal transportation is studied within the framework of multicriteria decision making (MCDM).…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent System for Transportation Mode Selection in ASEAN Countries

Janthongpan¹,

Rattanawong²,

Suthikarnnarunai³

2016

TOCIEJ

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Association of Southeast Asian Nations: ASEAN is an organization of ten countries in Southeast Asia consisting of Indonesia, Malaysia, the Philippines, Singapore, Brunei, Myanmar, Cambodia, Laos, Vietnam and Thailand. One of the major purposes of Asean is to create the Asean Economic Community: AEC as an economic organization. The mission of the AEC is to develop a single market and develop production base to be stable prosperous, highly competitive and economically, integrated with effective facilitation for trade and investment including a free flow of goods, services, investment, skilled labors and capital . This paper focuses on investigating the constraint within the three major modes of transportation (Air Sea and Truck) and reviewing the major factor influenced mode selection of the trading organization in Asean countries. Whilst constraints and complexities exist particularly within different countries, products values, lead time, a lack of knowledge on the condition of each transportation mode of the Small and Medium Enterprise (SME). At the time for those requirements can result in business limitation and restrictions. The results of research will lead to the design of an intelligent transportation system program that will not only illustrate solution for the trading organization in Asean countries but also provide variable costing and accurate transit time as management tools for users.

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A Transport Mode Selection Method for Multimodal Transportation Based on an Adaptive ANN System

Cited by 21 publications

References 13 publications

Attraction Area Division and Freight Flow Organization Optimization of Inland Railway Container Terminal

Attraction Area Division and Freight Flow Organization Optimization of Inland Railway Container Terminal

Estimation of Optimal Path on Urban Road Networks Using Ahp Algorithm

Intelligent System for Transportation Mode Selection in ASEAN Countries

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