Proposal for a Pivot-Based Vehicle Trajectory Clustering Method

Given the large volume of georeferenced information generated and stored by many types of devices, the study and improvement of techniques capable of operating with these data is an area of great interest. The analysis of vehicular trajectories with the aim of forming clusters and identifying emerging patterns is very useful for characterizing and analyzing transportation flows in cities. This paper presents a new trajectory clustering method capable of identifying clusters of vehicular sub-trajectories in various sectors of a city. The proposed method is based on the use of an auxiliary structure to determine the correct location of the centroid of each group or set of sub-trajectories along the adaptive process. The proposed method was applied on three real databases, as well as being compared with other relevant methods, achieving satisfactory results and showing good cluster quality according to the Silhouette index.

A Model for Developing Existing Ports Considering Economic Impact and Network Connectivity

This study discusses the problem of determining which container port should be developed within an existing network and when this should be carried out. A case study of Indonesia’s port network is presented, where several new ports are to be improved to ensure smooth interisland transportation flows of goods. The effects of the investment on economic consequences and increased network connectivity are assessed. When improving the ports, we consider that the available budget limits the investment. The network connectivity is evaluated by considering the number of reachable ports from the developed ports or transportation time required from other ports within the same port cluster. Based on our knowledge, our study is the first one that discusses the investment problem in multiple container ports under single management, as well as its effects regarding the increase in container flows. The problem is introduced and three mathematical models are proposed and used to solve a real problem. The results show that different models have different improved aspects of container transportation flows—e.g., a balanced improvement of the whole port network (Model 2) and appropriate investment priority for port clusters (Model 3).

Determining the ability to receive rock of waste dumps when exploiting a group of open-pit coal mines

In the process of developing the general exploitation and disposal plan for the Deonai, CocSau and Caoson coal mines, use should be taken into account the maximum internal disposal sites to reduce the transport supply and facilitate the environmental restoration work after exploitation. However, in the geological conditions of these coal mines, in order to ensure the space to exploit and make full use of useful minerals, it is necessary to calculate the economic efficiency when building the exploitation and disposal plan. The content of the article is based on the criteria of optimum transportation flows of rock in the arrangement of waste disposal when exploiting a group of three open-pit mines Deo Nai, Coc Sau and Cao Son.

Identifying the center of innovation industrial clusters to provide the federal district's evolution foresight

Subject. This article deals with the issues of placing and locating the information and logistics center of the Federal District's clusters. Objectives. The article aims to create a technology to identify the center of innovative industrial clusters, which would ensure their effective economic, financial, information, and logistics cooperation. Methods. To solve the problem of location of the information and logistics center of clusters in order to anticipate the evolution of the Federal District, we used simulation modeling algorithms, genetic algorithm, and the simulated annealing and pattern search methods. Results. These methods have been tested for the Volga (Privolzhsky) Federal District of the Russian Federation. As a result of analysis, modeling and calculations, it turns out that the information and logistics center of the Volga (Privolzhsky) Federal District should be the City of Kazan, the Republic of Tatarstan. Conclusions and Relevance. The deployment of the information and logistics center for the Volga (Privolzhsky) Federal District in Kazan can significantly reduce the transaction costs associated with the regulation of information and transportation flows within the Federal District under study. This will reduce the financial costs in the District and increase the synergistic effect of a large innovation system uniting innovation and industrial clusters in a large area of the entire Federal District. The additional synergies will help the governmental structures and their experts conduct a better policy of economic and financial foresight of the evolution of the Volga (Privolzhsky) Federal District.

Using Constraints in Freight Volume to Identify Regional Needs for Roadway Infrastructure

Policy decisions on the allocation of funds among sub-national regions for transportation infrastructure, specifically for motorways, face budgetary constraints and problems of geographical allocation. The purpose of this research is to assist the policymakers in efficiently allocating resources. The objective of this research is to test the ability of a limited model to identify regions whose freight transport capacity is constrained by lack of motorway infrastructure. This paper conducts an analysis of the relationship between freight transport volume, indicators of the demand for goods, indicators of congestion, and the availability of motorways and class one roadways across regions to determine if a model based on available data may inform the policymakers to effectively use limited funds and avoid unnecessary construction. The NUTS3 regions in the Czech Republic are used to estimate a preliminary model that may be generalized for the use across countries. The analysis finds sufficient variability across regions in the marginal effect of motorways on freight transport to assist the policymakers in determining which regions face the most economically severe constraints, and to separate the effects of population density from the lack of infrastructure. Although the Czech Republic is a developed country, there is significant emphasis, due to the increasing volumes of transportation flows, on the analysis of transportation in relation with the land use.