scholarly journals Design of An Integration Model for Air Cargo Transportation Network Design and Flight Route Selection

2019 ◽  
Vol 11 (19) ◽  
pp. 5197 ◽  
Author(s):  
Carman K.M. Lee ◽  
Shuzhu Zhang ◽  
Kam K.H. Ng
Keyword(s):  
Network Design ◽  
Transportation Network ◽  
Transportation Cost ◽  
Route Selection ◽  
Air Cargo ◽  
Transportation Industry ◽  
Integration Model ◽  
Hub And Spoke ◽  
Cargo Transportation ◽  
Swarm Intelligence Based Algorithm

Air cargo transportation is an essential component in the freight transportation market, primarily due to the transportation requirements of time-sensitive products. Air cargo transportation plays an increasingly important role alongside economic development. Cargo flight network design and fleet routing selection significantly affect the performance of the air cargo transportation. In this research, we propose an integrated model simultaneously considering cargo flight network design and the fleet routing selection for the air cargo transportation. Two transportation modes, the direct transportation mode in point-to-point networks and the transshipment mode in hub-and-spoke networks, are compared. In order to solve the proposed optimization problem, a swarm-intelligence-based algorithm is adapted. Numerical experiments were conducted to examine and validate the effectiveness and efficiency of the proposed model and algorithm. The computational results suggest that the proper settings of hub and transshipment route selection in an air cargo transportation network can significantly reduce the transportation cost, which can provide practical managerial insights for the air cargo transportation industry.

Network Design for Shipping Service of Large-Scale Intermodal Liners

2012 ◽  
Vol 2269 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Qiang Meng ◽  
Shuaian Wang ◽  
Zhiyuan Liu
Keyword(s):  
Network Design ◽  
Large Scale ◽  
Programming Model ◽  
Transportation Network ◽  
Liner Shipping ◽  
Maritime Transportation ◽  
Mixed Integer ◽  
Hub And Spoke ◽  
Shipping Company ◽  
Proposed Model

A model was developed for network design of a shipping service for large-scale intermodal liners that captured essential practical issues, including consistency with current services, slot purchasing, inland and maritime transportation, multiple-type containers, and origin-to-destination transit time. The model used a liner shipping hub-and-spoke network to facilitate laden container routing from one port to another. Laden container routing in the inland transportation network was combined with the maritime network by defining a set of candidate export and import ports. Empty container flow is described on the basis of path flow and leg flow in the inland and maritime networks, respectively. The problem of network design for shipping service of an intermodal liner was formulated as a mixed-integer linear programming model. The proposed model was used to design the shipping services for a global liner shipping company.

scholarly journals International Airline Alliance Network Design with Uncertainty

2021 ◽  
Vol 11 (7) ◽  
pp. 3065
Author(s):  
Wendong Yang ◽  
Jiajia Shao ◽  
Yun Jiang ◽  
Zhengjia Xu ◽  
Antonios Tsourdos
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Transportation Cost ◽  
Network Design Problem ◽  
Real World Data ◽  
Hub And Spoke ◽  
Robust Solution ◽  
Route Network ◽  
Cost Parameters ◽  
The Impact

This paper addresses the alliance route network design problem considering uncertainty in the unit transportation cost. An alliance route network was constructed based on a hub-and-spoke (HS) network, in which airlines could achieve inter-area passenger transport through their international gateways. The design problem was formulated with a robust model containing a set of uncertain cost parameters. The model was established based on a three-subscript model of an HS network. A case study with real-world data was used to test the proposed model. The results showed that this robust solution can reduce the impact of cost uncertainty.

scholarly journals Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771877326 ◽  
Author(s):  
Wei Zhong ◽  
Zhicai Juan ◽  
Fang Zong ◽  
Huishuang Su
Keyword(s):  
Public Transport ◽  
Rural Areas ◽  
Programming Model ◽  
Transportation Network ◽  
Transportation Cost ◽  
Capacity Constraint ◽  
Mixed Integer ◽  
Hub Location ◽  
Hub And Spoke ◽  
Total Cost

Integration of urban and rural infrastructure is critical to integrating urban and rural public transport. A public transport hub is an important element of infrastructure, and it is the key facilities that serve as transferring points between cities and towns. The location of hub is related to the convenience of travel for urban and rural residents and the closeness of economic interactions between urban and rural areas. In this article, considering the background of the integration of urban and rural public transport, from the perspective of public transport hubs in urban and central town, a multi-level hub-and-spoke network is designed, and the location of integration of urban and rural public transport hub is determined. Based on the connection associated with central towns and the capacity constraints of hubs and to achieve the minimum total cost, this article proposes a mixed-integer programming model that employs a genetic and tabu search hybrid optimization algorithm to validate and analyze, which used the urban and rural public transport data from a specified area of Shandong province in China. The results indicate that the model can simultaneously determine locations for hubs in cities and central towns while minimizing total cost. The hub capacity constraint significantly influences the location of two-level hubs. The hub capacity constraint in the model can reduce the transportation cost for an entire network and optimize the transportation network. This study on urban and rural public transport hub location in a hub-and-spoke network not only reduces the transportation cost of the network but also completes and supplements the location theory of integration of urban and rural public transport.

scholarly journals Hazmats Transportation Network Design Model with Emergency Response under Complex Fuzzy Environment

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Jiuping Xu ◽  
Jun Gang ◽  
Xiao Lei
Keyword(s):  
Network Design ◽  
Emergency Response ◽  
Transportation Network ◽  
Fuzzy Variable ◽  
Optimal Solution ◽  
Transportation Cost ◽  
Bilevel Optimization ◽  
Practical Case ◽  
Transportation Risk ◽  
Bee Colony

A bilevel optimization model for a hazardous materials transportation network design is presented which considers an emergency response teams location problem. On the upper level, the authority designs the transportation network to minimize total transportation risk. On the lower level, the carriers first choose their routes so that the total transportation cost is minimized. Then, the emergency response department locates their emergency service units so as to maximize the total weighted arc length covered. In contrast to prior studies, the uncertainty associated with transportation risk has been explicitly considered in the objective function of our mathematical model. Specifically, our research uses a complex fuzzy variable to model transportation risk. An improved artificial bee colony algorithm with priority-based encoding is also applied to search for the optimal solution to the bilevel model. Finally, the efficiency of the proposed model and algorithm is evaluated using a practical case and various computing attributes.

Air Cargo Transportation and Marketing

1952 ◽  
Vol 17 (1) ◽  
pp. 1-10
Author(s):  
Dwight L. Gentry
Keyword(s):  
Air Cargo ◽  
Cargo Transportation

From Coarse to Fine: An Augmented Reality Based Dynamic Inspection Method for Visualized Railway Routing of Freight Cars

2021 ◽  
Author(s):  
Bing Yi ◽  
Renkai Sun ◽  
Long Liu ◽  
Yongfeng Song ◽  
Yinggui Zhang
Keyword(s):  
Augmented Reality ◽  
High Efficiency ◽  
Low Cost ◽  
Digital Data ◽  
Route Selection ◽  
Inspection Method ◽  
Envelope Model ◽  
Freight Car ◽  
Cargo Transportation ◽  
Selection Of

Abstract It is a challenge for the dynamic inspection of railway route for freight car transporting cargo that out-of-gauge. One possible way is using the inspection frame installed in the inspection train to simulate the whole procedure for cargo transportation, which costs a lot of manpower and material resources as well as time. To overcome the above problem, this paper proposes an augmented reality (AR) based dynamic inspection method for visualized railway routing of freight car with out-of-gauge. First, the envelope model of the dynamic moving train with out-of-gauge cargo is generated by using the orbital spectrum of the railway, and the envelope model is matched with a piece of homemade calibration equipment located on the position of the railway that needs to be inspected. Then, the structure from motion (SFM) algorithm is used to reconstruct the environment where the virtual envelope model occludes the buildings or equipment along the railway. Finally, the distance function is adopted to calculate the distance between the obstacle and the envelope of the freight car with out-of-gauge, determining whether the freight car can pass a certain line. The experimental results show that the proposed method performs well for the route selection of out-of-gauge cargo transportation with low cost, high precision, and high efficiency. Moreover, the digital data of the environments along the railway and the envelope of the freight car can be reused, which will increase the digitalization and intelligence for route selection of out-of-gauge cargo transportation.

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