Vision Based Intelligent Traffic Management System

Malhi, Muhammad Hassam; Aslam, M. Hassan; Saeed, Faisal; Javed, Owais; Fraz, Muhammad Moazam

doi:10.1109/fit.2011.33

Cited by 18 publications

(12 citation statements)

References 5 publications

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“…They classified these applications based on the communication architecture, which is either infrastructure-free or infrastructure-based. The first includes cooperative congestion detection [14], [15], [16], congestion avoidance [17], and accident detection and warning [18] and the latter includes traffic-light management [20], [21], route suggestion [22] congestion detection [23], [28], and re-routing and speed adjustments [20], [21].…”

Section: Related Workmentioning

confidence: 99%

Development of Rewarding System for Solving Traffic Congestion in Saudi Arabia

Assiri¹

2020

TEM Journal

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Traffic congestion impacts economics, health, and productivity. Traffic congestion is increasing in the urban areas and negatively impacts people in these areas due to air pollution, accidents, delays in travel time, and more. In Saudi Arabia, more than 500,000 people have died or been injured because of traffic. To improve this problem, we developed a rewarding system that encourages people to drive during off-peak hours. In addition, the system provides recommendations for a preferred departure time in order to avoid traffic congestion. Recommended departure time is based on historical data. This system will be used to create dataset of drivers and traffic information in order to build an intelligent recommendation system

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Section: Related Workmentioning

confidence: 99%

Development of Rewarding System for Solving Traffic Congestion in Saudi Arabia

Assiri¹

2020

TEM Journal

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“…Continuous research on these technologies resulted in numerous improved techniques such as knowledge-driven dynamic image analysis [2], dynamic and automatic expert system [3] as well as inter-vehicular communication technology, fuzzy logic [4] to reduce traffic congestion [5], use of genetic algorithm [6] and route planning, dynamic vehicle routing during peak hour [7], CCTV surveillance [8], Rule based Multi-Agent System [9], road traffic estimation using acoustic sensing [10], application of Computer Vision [11] and Distributed Camera Networks for monitoring road traffic [12], [13] etc.…”

Section: B Traffic Detection Technologiesmentioning

confidence: 99%

An automated urban traffic control system for heavy traffic congestion

Nur

Hasan

Saha

2012

2012 7th International Conference on Electrical and Computer Engineering

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In this paper, we propose an automated urban traffic control system for heavy traffic congestion that will provide the authorities of technologically underdeveloped countries with the facility to monitor, control and maintain the traffic signals in a completely automated manner. In addition, our proposed system clearly improves the existing automated mode of traffic controlling systems since the proposed system consists of several rational agents in both local and global forms that can always make an optimal decision while existing mechanisms take decisions based on local agents only thus making it not always optimal.

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“…The system must be used to control the traffic lights for smooth and safe movement of traffic. These control systems consists of electro mechanical controllers with clockwork mechanisms or modern solid state computerised systems with easy setup and maintenance [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%