A toll-based bi-level programming approach to managing hazardous materials shipments over an intermodal transportation network

2016 ◽  
Vol 47 ◽  
pp. 208-221 ◽  
Author(s):  
Ghazal Assadipour ◽  
Ginger Y. Ke ◽  
Manish Verma
Keyword(s):  
Transportation Network ◽  
Hazardous Materials ◽  
Programming Approach ◽  
Intermodal Transportation

scholarly journals Green and Reliable Freight Routing Problem in the Road-Rail Intermodal Transportation Network with Uncertain Parameters: A Fuzzy Goal Programming Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-21 ◽  
Author(s):  
Yan Sun
Keyword(s):  
Transportation Network ◽  
Mixed Integer ◽  
Programming Approach ◽  
Uncertain Parameters ◽  
Intermodal Transportation ◽  
Road Transportation ◽  
Routing Problem ◽  
The Road ◽  
Green Routing ◽  
Freight Routing

In this study, the author focuses on modeling and optimizing a freight routing problem in a road-rail intermodal transportation network that combines the hub-and-spoke and point-to-point structures. The operations of road transportation are time flexible, while rail transportation has fixed departure times. The reliability of the routing is improved by modeling the uncertainty of the road-rail intermodal transportation network. Parameters that are influenced by the real-time status of the network, including capacities, travel times, loading and unloading times, and container trains’ fixed departure times, are considered uncertain in the routing decision-making. Based on fuzzy set theory, triangular fuzzy numbers are employed to formulate the uncertain parameters as well as resulting uncertain variables. Green routing is also discussed by treating the minimization of carbon dioxide emissions as an objective. First of all, a multiobjective fuzzy mixed integer nonlinear programming model is established for the specific reliable and green routing problem. Then, defuzzification, linearization, and weighted sum method are implemented to present a crisp linear model whose global optimum solutions can be effectively obtained by the exact solution algorithm run by mathematical programming software. Finally, a numerical case is given to demonstrate how the proposed methods work. In the case, sensitivity analysis is adopted to reveal the effects of uncertainty on the routing optimization. Fuzzy simulation is then performed to help decision makers to select the best crisp route plan by determining the best confidence level shown in the fuzzy chance constraints.

scholarly journals An Optimal Path Identification in the Intermodal Freight Transportation Network

2018 ◽  
Vol 7 (2.11) ◽  
pp. 1
Author(s):  
Adel Gohari ◽  
Abdul Nasir Bin Matori ◽  
Khamaruzaman Wan Yusof ◽  
Iraj Toloue ◽  
Khin Cho Myint
Keyword(s):  
Information System ◽  
Transportation Network ◽  
Optimal Path ◽  
Freight Transportation ◽  
Research Topic ◽  
Objective Functions ◽  
Intermodal Transportation ◽  
Choice Analysis ◽  
Mode Of Transportation ◽  
Intermodal Freight

Intermodal transportation is a research topic of great interest at present. This paper presents a route choice analysis on an intermodal freight transportation network. The aim of this study was to determine the optimum route and mode of transportation based on least distance and least time criteria for the movement of containers from origin to the destination. Geographic Information System (GIS) was adopted to build the hypothetical freight transportation network and MATLAB software was used to model the travel distance and travel time. The results showed that the model can be used effectively to identify the shortest path and modes of transportation according to objective functions.  

scholarly journals Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale

2019 ◽  
Vol 11 (4) ◽  
pp. 990 ◽  
Author(s):  
Dan Liu ◽  
Zhenghong Deng ◽  
Qipeng Sun ◽  
Yong Wang ◽  
Yinhai Wang
Keyword(s):  
Economies Of Scale ◽  
Cost Model ◽  
Transportation Network ◽  
Hybrid Genetic Algorithm ◽  
Pso Algorithm ◽  
Transport Cost ◽  
Intermodal Transportation ◽  
Fleet Size ◽  
Freight Consolidation ◽  
Vehicle Size

Decentralized freight decision has been proved to be one of the inhibitors to achieve a sustainable transport network. One important method also a key challenge is to determine how to coordinate and consolidate the transportation flow to get the best logistics performance. This study presents an intermodal transportation network considering freight consolidation through freight forwarders’ cooperation. We formulate the problem as a minimum intermodal transport cost model, which is a nonlinear, nonconvex and discontinuous function that involves volume economies of scale, distance economies of scale and vehicle size economies of scale. A hybrid genetic algorithm (GA) and particle swarm optimization (PSO) algorithm in combination with a batch strategy are used to solve the problem. Five different transport demand scenarios are tested on a real case on “China Railway Express” (Crexpress). The choices of reasonably corridor and fleet size combination are provided.

Multi-Step Heuristic Method for Bus Terminal Location Problem

2019 ◽  
Vol 2673 (10) ◽  
pp. 361-369
Author(s):  
Mohammad Hossein Zamanian ◽  
Farideddin Peiravian
Keyword(s):  
Land Use ◽  
Location Problem ◽  
Transportation Network ◽  
Heuristic Method ◽  
Programming Approach ◽  
Traffic Patterns ◽  
Construction Costs ◽  
Proposed Model ◽  
Node Connectivity ◽  
Increasing Demand

Bus terminals are one of the main facilities that have a key role in the collection and distribution of passengers within an urban transportation network. The location of a bus terminal strongly affects its performance. Owing to the increasing demand, it is sometimes necessary to add a new bus terminal to the existing urban bus network. Finding a proper location, however, is a challenge that is influenced by different transportation and socio-economic considerations, which in turn affects the surrounding land-use and traffic patterns. In this paper, a new multi-step heuristic method is proposed for the bus terminal location problem to identify a new bus terminal location based on the existing network as well as other transportation considerations and constraints. This is achieved by identifying the existing bus stops that have the greatest potential to be turned into a bus terminal. Other factors taken into consideration are the locations of the existing bus terminals, adjacent land-use, construction costs, node connectivity, and system accessibility. Owing to the multi-objective nature of the problem, a goal programming approach is used to formulate the objective function. To evaluate the proposed model, it was applied to the city of Shiraz in Iran. The results show that the model can provide acceptable and reliable outcomes.

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