Improvement of the road traffic management by an ant-hierarchical fuzzy system

Kammoun, Habib M.; Kallel, Ilhem; Alimi, Adel M.; Casillas, Jorge

doi:10.1109/civts.2011.5949535

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…Bazzi et al (2013) presented on various factors are to be considering timely data by using VSNs vector distance routing algorithm for vehicle tracking system. Kammoun et al (2011) proposed a hybrid method that makes use of adaptive vehicular guidance systems to analyse the road traffic network. The flow of traffic is adjusted intelligently by suggesting alternative path to the destination based on ant colony behaviour and hierarchical fuzzy system.…”

Section: Related Workmentioning

confidence: 99%

A Reference Architecture for Context-Aware Intelligent Traffic Management Platforms

Rehena

Janssen²,

Chattopadhya

2018

International Journal of Electronic Government Research

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Smart cities have been heralded for improving traffic management by utilizing data for making better traffic management decisions. Multi-sided platforms collect data from sensors and citizen-generated data on one side and can provide input for decision-making using data analytics by governments and the public on the other side. However, there is no guidance for creating developing Intelligent Traffic Management Systems (ITMS) platforms. The involvement of various actors having different interest and heterogeneous datasets hampers development. In this article, the authors design a reference architecture (RA) to support intelligent traffic management systems for providing better a commute, and safety and security during travel based on real-time information. The main three layers of this RA are datasets, processes, and actors. The RA for ITMS provides guidance for designing and overcoming the challenges with: 1) heterogeneous datasets; 2) data gathering; 3) data processing; 4) data management; and 5) supporting various types of data users. The illustration and evaluation of the architecture shows possible solutions of the aforementioned challenges. The RA helps to integrate the activities performed by the various actors. In this way it can be used to reduce traffic queues, increase the efficient use of resources, smooth and safe commute of the citizens.

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Section: Related Workmentioning

confidence: 99%

A Reference Architecture for Context-Aware Intelligent Traffic Management Platforms

Rehena

Janssen²,

Chattopadhya

2018

International Journal of Electronic Government Research

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“…In [5] the authors focused on various factors are to be considering timely data acquiescing by using VSNs vector distance routing algorithm for vehicle tracking system. In [11] Kammoun, H. M., et al proposed a hybrid method that makes use of adaptive vehicular guidance systems to analyse the road traffic network. The flow of traffic is adjusted intelligently by suggesting alternative path to the destination based on ant colony behaviour and hierarchical fuzzy system.…”

Section: Related Workmentioning

confidence: 99%

Towards a Framework for Context-Aware Intelligent Traffic Management System in Smart Cities

Rehena

Janssen

2018

Companion of the the Web Conference 2018 on the Web Conference 2018 - WWW '18

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In the last few years, the smart city concept resulted in the development and deployment of platforms for providing innovative services to improve sustainability and the living standards. These platforms integrate data collected from devices and citizen-generated data and thereafter employ big data analytics to create insights from the data. These platform enable the creation of context-aware Intelligent traffic management systems (ITMS), however the involvement of various actors at different stages hampers development. In this paper, we propose a framework to support sustainable traffic management system for providing better commute, safety and security during travel based on real-time information. The framework should help to integrate the activities performed by the various actors. The main key elements of this framework are Datasets, Traffic Management Analytics, Actors and Actions which are taken by these users. The framework helps to create an overall overview of the activities needed. In this way it can be used to improve the quality of the traffic flow, increase efficient use of resources, smooth and safe commute of the citizens.

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Urban planning role in environmental development, transportation potentials: Al-Baha region

Aldossary

2023

J. Umm Al-Qura Univ. Eng.Archit.

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This paper analyzes the potential for energy generation using the transport system in Al-Baha city by investigating its road hierarchy and evaluate traffic in selected location across the city. Urban systems to manage the transport hierarchy are important, and exploiting them to minimize CO2 emissions rates is critical. The used approach is to investigate the urban planning of Al-Baha city by referring to its approved master plan detailing the road hierarchy, and second, conducting a traffic survey at selected points across the city. The data collection process, involved accessing the master plan for Al-Baha city held by the ministry of the municipality for the Al-Baha region. Additional data related to traffic congestion and demand was gathered physically at chosen sites. The output of the study illustrates the potential for energy generation exploiting traffic mobility at six different sites across Al-Baha city. Furthermore, attractive features that effect the transport system in Al-Baha city were highlighted and the potential for energy saving employing energy generation using the transport system discussed. The research contributes on highlighting the potential for renewable energy, minimizes the need to burn fossil fuels, and can be replicated in other cities characterized by high demand transport systems.

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Improvement of the road traffic management by an ant-hierarchical fuzzy system

Cited by 9 publications

References 29 publications

A Reference Architecture for Context-Aware Intelligent Traffic Management Platforms

A Reference Architecture for Context-Aware Intelligent Traffic Management Platforms

Towards a Framework for Context-Aware Intelligent Traffic Management System in Smart Cities

Urban planning role in environmental development, transportation potentials: Al-Baha region

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