scholarly journals Development of a Decision Making Algorithm for Traffic Jams Reduction Applied to Intelligent Transportation Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
David Gómez ◽  
José-Fernán Martínez ◽  
Juana Sendra ◽  
Gregorio Rubio
Keyword(s):  
Decision Making ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Analytic Hierarchy ◽  
Traffic Jams ◽  
Traffic Management System ◽  
Smart Traffic ◽  
Hierarchy Process

This paper is aimed at developing a decision making algorithm for traffic jams reduction that can be applied to Intelligent Transportation Systems. To do so, these algorithms must address two main challenges that arise in this context. On one hand, there are uncertainties in the data received from sensor networks produced by incomplete information or because the information loses some of the precision during information processing and display. On the other hand, there is the variability of the context in which these types of systems are operating. More specifically, Analytic Hierarchy Process (AHP) algorithm has been adapted to ITS, taking into account the mentioned challenges. After explaining the proposed decision making method, it is validated in a specific scenario: a smart traffic management system.

Smart Traffic Management System for Anticipating Unexpected Road Incidents in Intelligent Transportation Systems

2018 ◽  
Vol 10 (4) ◽  
pp. 67-82
Author(s):  
Abdelatif Sahraoui ◽  
Derdour Makhlouf ◽  
Philippe Roose
Keyword(s):  
Predictive Model ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Management System ◽  
Statistical Significance ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Practical Case ◽  
Traffic Management System ◽  
Smart Traffic

This article describes how anticipating unforeseen road events reveal a serious problem in intelligent transportation systems. Due to the diversity of causes, road incidents do not require regular traffic conditions and accurate prediction of these incidents in real-time becomes a complicated task not defined so far. In this article, a smart traffic management system based cloud-assisted service is proposed to preserve the traffic safety by controlling the road segments and predicts the probability of incoming incidents. The proposed cloud-assisted service includes a predictive model based on logistic regression to predict the occurrence of unforeseen incidents. The sudden slowdown of vehicles speeds is the practical case of the article. The classification task of the predictive model incorporates four explained variables, including vehicle speed, the travel time and estimated delay time. The prediction accuracy is proved by checking the model relevance according to the quality of fit and the statistical significance of each explained variable.

scholarly journals An Evaluation of Indicators of Railway Intelligent Transportation Systems using the Group Analytic Hierarchy Process

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Evelin Krmac ◽  
Boban Djordjević
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Indicators ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Key Performance Indicators ◽  
Transportation Systems ◽  
Analytic Hierarchy ◽  
Expert Opinions ◽  
Hierarchy Process

Intelligent Transportation Systems (ITS) have a significant and promising role in the overall improvement of transport performances. However, in the absence of a set of key performance indicators (KPI), it is very difficult to evaluate ITS and the effects of their application objectively. Therefore, the first aim of the paper is to develop an appropriate KPIs for assessment of railway ITS and the monitoring of their impacts. Based on that, a tool for the evaluation of the importance of these indicators is proposed. For that purpose a set of twenty-four indicators was grouped by topics under the economic, social, and environmental dimensions of sustainability. The paper thoroughly describes their development and classification. An evaluation of indicators based on expert opinions via the Group Analytic Hierarchy Process (GAHP) method is presented. Results obtained by the GAHP method illustrate the importance or significance of indicators for railway ITS.

scholarly journals Collaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems

2020 ◽  
Author(s):  
Ademar Takeo Akabane ◽  
Edmundo Roberto Mauro Madeira ◽  
Leandro Aparecido Villas
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Cost Effective ◽  
Intelligent Transportation ◽  
Good Alternative ◽  
Transportation Systems ◽  
Vehicular Traffic ◽  
Traffic Management System

This extended abstract provides an at-a-glance view of the main contributions of my Ph.D. work. The work aims to investigate and develop cutting-edge an infrastructure-less vehicular traffic management system in order to minimize vehicular traffic congestion and advance the state-of-the-art in intelligent transportation systems. The proposed solutions were widely compared with other literature solutions on different performance evaluation metrics. The evaluation results show that the proposed vehicle traffic management system is efficient, scalable, and cost-effective, which may be a good alternative to mitigate urban mobility problems.

scholarly journals USING THE ANALYTIC HIERARCHY PROCESS FOR DECISION MAKING IN SMART TRAFFIC LIGHT FOR HIGH PRIORITY VEHICLE

2019 ◽  
Vol 4 (2) ◽  
pp. 146-153
Author(s):  
Muhammad Izzuddin Mahali ◽  
Eko Marpanaji ◽  
Muhammad Adi Febri Setiawan
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Traffic Light ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Waterfall Model ◽  
Smart Traffic ◽  
Hierarchy Process

Kemacetan sering terjadi di banyak persimpangan jalan kota-kota besar di Indonesia. Sesuatu yang penting seperti kendaraan prioritas sering pula berada pada kemaccetan tersebut. Untuk mengatasi permasalahan tersebut terdapat inovasi baru yaitu Intelligent Traffic Light yang dibekali dengan Aplikasi “Bang Jopin”. Namun terdapat permasalahan baru ketika ada kendaraan prioritas melakukan request emergency secara bersamaan pada traffic light yang sama. Penentuan prioritas tidak dapat dilakukan dengan pengurutan saja karena ketika memprioritaskan kendaraan pada traffic light harus mempertimbangkan karakteristik traffic light dan kebiasaan pengendara.    Oleh kerena itu, Metode Analitical Hierarchy Process (AHP) merupakan solusi yang tepat dalam menentukan kendaraan prioritas yang didahulukan ketika ada lebih dari satu request pada satu waktu. Penelitian ini bertujuan untuk menentukan bobot masing-masing kriteria, menguji fungsi program, dan menerapkannya pada perangkat. Metode Penelitian yang digunakan adalah waterfall model.

Smart Traffic Management for Collision Avoidance Using V2V

2021 ◽  
Vol 11 (1) ◽  
pp. 01-07
Author(s):  
V. Naren Thiruvalar ◽  
E. Vimal
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Transportation Systems ◽  
Pollution Monitoring ◽  
Inappropriate Use ◽  
V2v Communication ◽  
Use Of Resources ◽  
Smart Traffic

The main objective of this project is to connect the vehicles together and avoid accidents by using V2V Communication. The vehicles are to be connected together by means of DSRC algorithm which is used for transceiving alert messages among the connected vehicles, in case of any emergency situation such as accidents. The Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behaviour. An increase in the infrastructure growth is a possible solution but turns out to be costly in terms of both time and effort. Various applications that target transport efficiency could make use of the vast information collected by vehicles: safety, traffic management, pollution monitoring, tourist information, etc.

scholarly journals Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends

2020 ◽  
Vol 12 (21) ◽  
pp. 8759 ◽  
Author(s):  
Nadia Karina Gamboa-Rosales ◽  
José María Celaya-Padilla ◽  
Ana Luisa Hernandez-Gutierrez ◽  
Arturo Moreno-Baez ◽  
Carlos E. Galván-Tejada ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Intellectual Structure ◽  
Structure Evolution ◽  
Future Research ◽  
Systematic Analysis ◽  
Main Research ◽  
Research Themes

According to the United Nations, 70% of the world’s population will live in cities by 2050. This growth will be reflected in the demand for better services that should be adjusted to the collective and individual needs of the population. Governments and organizations are working on defining and implementing strategies that will enable them to respond to these challenges. The main challenges are related to transport and its management, considering transportation as a core issue in the economy, sustainability, and development of the regions. In this way, the Intelligent Transportation Systems (ITS) play a key role in the response to these scenarios, being that they are the framework where the new hardware and software tools are integrated, allowing an efficient development of transportation systems management, attending to aspects such as: traffic management, communications between vehicles and infrastructures, and security, among others. Nevertheless, the concept of ITS evolves rapidly so it is necessary to understand its evolution. To do that, the current research develops a thematic analysis of ITS in literature, evaluating the intellectual structure and its evolution using SciMAT, quantifying the main bibliometric performance indicators, and identifying the main research areas, authors, journals, and countries. To this purpose, the publications related to ITS from 1993 to 2019 available in the Web of Science (WoS) Core Collection were retrieved (7649 publications) and analyzed. Finally, one of the main results is the latest research themes map of ITS, considering its intellectual structure, evolution, and relationship. It assists in the definition and implementation of strategies, the identification of the scientific, academic, and business opportunities, and future research lines to consolidate the role of ITS in the new city models.

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