Container Multimodal Cooperative Transportation Management Information System Based on Artificial Intelligence Technology

Artificial intelligence is a branch of computer science, which includes natural language, intelligent processing, and professional methods. Since the birth of artificial intelligence, the technology and application fields have continued to grow, and the application fields have also continued to expand. This article aims to study the application of artificial intelligence technology in the management information system of container multimodal transportation and to provide convenient and efficient operation methods for container multimodal transportation. This paper proposes the C-means clustering method. Through the research and development of the terminal management system, it has achieved great success in automation, intelligent planning, and integrated management. At the same time, the EDI system is adopted, which mainly uses the combination of GPS and GIS information platform Internet network technology. Therefore, when evaluating the operation of the multimodal transport virtual container under the control of coproduction, the DEA method is used to operate the multimodal virtual container. The situation is analyzed and evaluated, and the multimodal transport virtual container is determined through investment. The experimental results of this article show that the artificial intelligence system achieves the most efficient multimodal transport management with the most efficient system model, combined with the leading container multimodal transport virtual enterprise, to provide the best way of the management process for the development of the multimodal transport management information system. The intact rate of container cargo during transportation is as high as 99.7%.

FACTOR ANALYSIS METHOD APPLICATION FOR CONSTRUCTING OBJECTIVE FUNCTIONS OF OPTIMIZATION IN MULTIMODAL TRANSPORT PROBLEMS

The paper regards a specific class of optimization criteria that possess features of probability. Therefore, constructing objective function of optimization problem, the importance is attached to probability indices that show the probability of some criterial event or events to occur. Factor analysis has been taken for the main method of constructing objective function. Algorithm for constructing objective function of optimization is done for criterion of minimization risk level in multimodal transportations that demanded demonstration data. The application of factor analysis in classical problem solution was shown to give the problem a more distinct analytical interpretation in solving it.

Optimization of the costs of a transport company in the implementation of multimodal transport

Reducing the costs of the transport company is one of the key issues in the management of the organization. There are standard ways to reduce the costs of transport companies, the article proposes options for reducing costs through the interaction of several modes of transport, namely, rail and road. The article discusses options for the transportation of goods by a trucking company. For the purpose of reducing operating costs, it is proposed to combine the use of road and rail transport on certain sections of the route of routes of various lengths. The authors made a conclusion about the dependence of the operating costs on the distance when using the above types of transport.

The Choice of Multimodal Transport Mode of Agricultural By-Product Logistics in Land-Sea New Corridor in Western China Based on Big Data

The “new land-sea corridor” has brought cross-border facilitation and increased trade financing channels. It not only has long been a road-sea transportation corridor but also has been upgraded to a trade corridor. As one of the most inclusive cities, Chongqing, with the help of this channel, can bring more dividends and international resources to the entire western region. Through the logistics base of Singaporean-Chongqing cooperation in multimodal transport, Chongqing can play an important role as a channel operation center and an important logistics hub. Some international shipping resources will be extended to Chongqing, letting the whole western region share the agricultural by-products brought by Southeast Asian countries. Multimodal transport is a common mode of transport in international trade; it combines various modes of transport organically, brings into play the advantages of various modes of transport, and can reduce costs to a large extent. At present, multimodal transport is mostly used for importing and exporting goods; multimodal transport is not widely used in agricultural by-product logistics transportation. Multimodal combination will be used in the transportation of agricultural by-product logistics; it can avoid the shortcomings of simply using road transportation and make the logistics transportation cost of agricultural by-products lower and management more convenient. Based on the large data, this paper considers factors such as route factors, transfer mode selection, and window meeting time in the transfer process; a mathematical model and advanced colony ant algorithm can be used to solve the transfer optimization problem of a very large fleet of agricultural by-product logistics. This solution can provide instructions and suggestions for companies that should increase relevant scientific research.

Research on Current Situation and Countermeasures of Multimodal Transport in Shandong Province

The development of multimodal transport has become an important gripper to promote logistics cost reduction and efficiency enhancement, improve the quality of modern comprehensive transportation services, and build a green transportation system, which is of great significance for building powerful transportation in Shandong Province. In recent years, the transportation industry in Shandong Province has developed rapidly, but there are still certain shortcomings in the development of multimodal transportation. This article is based on the status of the development of multimodal transport in Shandong Province, conducted an in-depth analysis and research on the issues restricting the rapid development of multimodal transport in Shandong Province, and in-depth analysis of the new situation and new challenges faced by the development of multimodal transport in Shandong Province. Thus, countermeasures and suggestions are put forward for infrastructure construction, innovative service models, improving the level of informatization, and cultivating market systems.

Public Transport in Developing Countries

The changes and challenges in public transport in developing countries are need to be address with the right policy, yet to make the right policy, we need to identify the main problem and characteristics of public transport in developing countries itself. This article explain the characteristics of public transportation in developing countries using literature review. In general, it is based on its organization, multimodal transport planning and finance, fare control, fare exemptions and social obligations, vehicle specifications, competition and regulation and finally ownership and investment.

Description of multimodal transport networks by means of graph models

The main objective of organising multimodal transport is to meet the public’s demand for transport services as much as possible while making the most efficient use of rolling stock. In order to determine the efficiency of a transport system the paper proposes that it should be viewed as a collection of different local transport systems. The issue of organising multimodal transport is related to many aspects of passenger services and rail transport operations (forecasting passenger flows, developing combined train schedules, features of the TH (transfer hub) and station complexes, etc.). The article details the way multimodal passenger chains are represented in the form of graphical models. The goals of using the constructed graphs are defined: solving problems of visualisation and analysis of multimodal transport chains as well as solving the complex problem of optimising the scheduling and planning of vehicle stops at passenger transfer points. It has been shown that the main requirements for organising this type of passenger transport are to minimise the total travel time of vehicles in order to reduce management costs for operators and to maximise the number of passengers carried in order to better meet passenger demand.