Agent-based design and organization of intermodal freight transportation systems

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.

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Autonomous Ship Navigation Under Deep Learning and the Challenges in COLREGs

Volume 11B: Honoring Symposium for Professor Carlos Guedes Soares on Marine Technology and Ocean Engineering ◽

10.1115/omae2018-77672 ◽

2018 ◽

Cited By ~ 3

Author(s):

Lokukaluge P. Perera

Keyword(s):

Decision Making ◽

Deep Learning ◽

Collision Avoidance ◽

Situation Awareness ◽

Type System ◽

Performance Standards ◽

Transportation Systems ◽

Agent Based ◽

Distributed Intelligence ◽

System Intelligence

A general framework to support the navigation side of autonomous ships is discussed in this study. That consists of various maritime technologies to achieve the required level of ocean autonomy. Decision-making processes in autonomous vessels will play an important role under such ocean autonomy, therefore the same technologies should consist of adequate system intelligence. Each onboard application in autonomous vessels may require localized decision-making modules, therefore that will introduce a distributed intelligence type strategy. Hence, future ships will be agent-based systems with distributed intelligence throughout vessels. The main core of this agent should consist of deep learning type technology that has presented promising results in other transportation systems, i.e. self-driving cars. Deep learning can capture helmsman behavior, therefore that type system intelligence can be used to navigate autonomous vessels. Furthermore, an additional decision support layer should also be developed to facilitate deep learning type technology including situation awareness and collision avoidance. Ship collision avoidance is regulated by the Convention on the International Regulations for Preventing Collisions at Sea, 1972 (COLREGs) under open sea areas. Hence, a general overview of the COLREGs and its implementation challenges, i.e. regulatory failures and violations, under autonomous ships are also discussed with the possible solutions as the main contribution of this study. Furthermore, additional considerations, i.e. performance standards with the applicable limits of liability, terms, expectations and conditions, towards evaluating ship behavior as an agent-based system on collision avoidance situations are also illustrated in this study.

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RAILWAY STRUCTURES PERFORMANCE DUE TO FREIGHT INTERMODAL SERVICE AT BOJONEGORO – KALITIDU ROUTE

CI-TECH ◽

10.33005/ci-tech.v2i01.30 ◽

2021 ◽

Vol 2 (01) ◽

pp. 30-36

Author(s):

Nugroho Utomo

Keyword(s):

Load Capacity ◽

Freight Transportation ◽

Primary Component ◽

Tension Force ◽

Road Accidents ◽

Logistics Systems ◽

Goods Movement ◽

Directorate General ◽

Intermodal Freight ◽

Double Track

Goods movement using container are quite efficiently assessed because it can carry a great amount of goods fit to container capacity. Freight transportations is a primary component of all supply-chain and logistics systems, but in contrary using a truck as its transportation means causing many problems such as air and noise pollutions, traffic congestions, road accidents and road damage. Depart from this facts, so government is looking for another means of freight transporter which more efficient with a bigger load capacity advantages. This options goes to train as a solutions of intermodal freight transportations lack. In order to supporting intermodal freight transportations, right now double track of railway is available for Jakarta – Surabaya route (Northern line route). By now, noted that freight transportation with double track railway frequency is potentially increase to 15 trip per days with capacity 500 TEU (Twenty feet Equivalent Units) per days and fuel consumptions (with truck) can be thrifted into 115 kl per days also reducing carbon monoxide emission amounts 350 tons per days. According with an official statements from Directorate General of Railways, Ministry of Transportations, explained that Jakarta – Bojonegoro route on double track railway is fully operated so this paper is conducted to determining feasibility of railway structure performance due to freight intermodal transportations at Bojonegoro – Kalitidu route. Railway structure performance feasibility is observed from loading distributions, rail strength, rail sleeper strength, and railway subgrade endurance to planned freight trains. As a result of this research obtained that tension force that occurred on rail is 830,10 kg/cm2 < permitted tension on rail (first class rail) 1325 kg/cm2. So, tension force that occurred on rail is safe. Moment force that occurred on rail bottom is 14521,25 kg.cm < permitted moment force (150.000 kg.cm) Moment force that occurred in the middle of rail sleeper is 58993,978 kg.cm < permitted moment force (93000 kg.cm). Tension force that occurred on above railway subgrade (σ2) is 4,17 kg/cm2 < qu (29,671 kg/cm2). It means that railway subgrade is capable to supporting load of freight transportation operations along Bojonegoro – Kalitidu route.

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Green intermodal freight transportation: bi-objective modelling and analysis

International Journal of Production Research ◽

10.1080/00207543.2019.1620363 ◽

2019 ◽

Vol 57 (19) ◽

pp. 6162-6180 ◽

Cited By ~ 15

Author(s):

Emrah Demir ◽

Martin Hrušovský ◽

Werner Jammernegg ◽

Tom Van Woensel

Keyword(s):

Freight Transportation ◽

Intermodal Freight

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The Merit of Agents in Freight Transport

Multi-Agent Systems for Traffic and Transportation Engineering - Advances in Mechatronics and Mechanical Engineering ◽

10.4018/978-1-60566-226-8.ch016 ◽

2009 ◽

pp. 323-341

Author(s):

Tamás Máhr ◽

F. Jordan Srour ◽

Mathijs de Weerdt ◽

Rob Zuidwijk

Keyword(s):

Freight Transport ◽

Transport Network ◽

Optimization Approach ◽

Comparative Performance ◽

Agent Based ◽

Solution Approach ◽

On Line ◽

Intermodal Freight ◽

Transport Method

While intermodal freight transport has the potential to introduce efficiency to the transport network,this transport method also suffers from uncertainty at the interface of modes. For example, trucks moving containers to and from a port terminal are often uncertain as to when exactly their container will be released from the ship, from the stack, or from customs. This leads to much difficulty and inefficiency in planning a profitable routing for multiple containers in one day. In this chapter, the authors examine agent-based solutions as a mechanism to handle job arrival uncertainty in the context of a drayage case at the Port of Rotterdam. They compare their agent-based solution approach to a wellknown on-line optimization approach and study the comparative performance of both systems across four scenarios of varying job arrival uncertainty. The chapter concludes that when less than 50% of all jobs are known at the start of the day then an agent-based approach performs competitively with an on-line optimization approach.

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