Arctic Transportation Systems

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

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The role of investments in the construction of pipeline transportation systems

Problems of Economics and Management of Oil and Gas Complex ◽

10.33285/1999-6942-2020-10(190)-21-23 ◽

2020 ◽

pp. 21-23

Author(s):

I.N. Volodina ◽

◽

O.L. Zakharova ◽

Keyword(s):

Transportation Systems ◽

Pipeline Transportation

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A Comprehensive Study on Intelligent Transportation Systems

SMART MOVES JOURNAL IJOSCIENCE ◽

10.24113/ijoscience.v4i10.167 ◽

2018 ◽

Vol 4 (10) ◽

pp. 10

Author(s):

Ankur Mishra ◽

Aayushi Priya

Keyword(s):

Intelligent Transportation Systems ◽

Traffic Congestion ◽

Transportation Systems ◽

Environmental Conservation ◽

Integrated System ◽

Transport Systems ◽

Transport Sector ◽

Intelligent Transport System ◽

Intelligent Transport ◽

Transportation Sector

Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.

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Quality indicator of the smart city transportation and logistics system

Economic Analysis Theory and Practice ◽

10.24891/ea.19.11.2116 ◽

2020 ◽

Vol 19 (11) ◽

pp. 2116-2135

Author(s):

G.V. Savin

Keyword(s):

Intelligent Transportation Systems ◽

Smart City ◽

Urban Areas ◽

Human Life ◽

Life Quality ◽

Intelligent Transportation ◽

Transportation Systems ◽

Logistics System ◽

Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

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