Real time status collection and dynamic vehicular traffic control using Ant Colony Optimization

Kponyo, Jerry John; Kuang, Yujun; Li, Zejiao

doi:10.1109/iccps.2012.6384297

Cited by 17 publications

(17 citation statements)

References 7 publications

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“…Individual ants can perform tasks independently while collaborating with other ants to solve a problem (i.e., finding food sources). This behaviour is very similar to the behaviour of vehicular networks (Kponyo et al, 2012). Fan et al (2004) utilised ant colony algorithm for finding the shortest path for the first time.…”

Section: Introductionsupporting

confidence: 59%

“…Vehicle populations have significantly increased worldwide over the last decade. This increase in the number of vehicles has resulted in heavy traffic congestion, which leads to a high probability of road accidents (Kponyo et al, 2012). In addition to the rising number of vehicles, inaccurate routing to unknown destinations also increases traffic congestion because drivers become hesitant in selecting the best street to the desired destination (Marchesini and Weijermars, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Ant colony optimisation for vehicle traffic systems: applications and challenges

Jabbarpour

Malakooti

Noor

et al. 2014

IJBIC

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Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. A significant number of studies have focused on the self-organised behaviour of ants in the natural environment to develop effective systems for dynamic problems. Ant-based systems have special properties such as scalability, adaptability, and dynamicity, which are the main requirements for solving vehicle traffic congestion problem. Thus, ant-based algorithms are now being adopted by vehicle traffic systems (VTSs) to guide vehicles to less congested paths. However, literature shows that comprehensive reviews are lacking in this field. The main contribution of this paper is the review and classification of the most relevant systems based on novel taxonomy. A survey that includes statistical analyses on ant-based VTS was conducted to identify the limitations and evaluation process of VTS. This paper concludes by proposing a general framework in applying ant colony optimisation to VTS. . He received his Master of Data Communication and Networking in 2012 at the same university. His current research interests include ad hoc networks, quality of service, swarm intelligence and vehicle traffic routing systems.Hossein Malakooti received his Master of Data Communication and Networking at the

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Section: Introductionsupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Ant colony optimisation for vehicle traffic systems: applications and challenges

Jabbarpour

Malakooti

Noor

et al. 2014

IJBIC

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“…However, considering the cost and time limitations, VTRS is a better solution than TLS. Various VTRSs are proposed in (Desai et al (2013); Wang et al (2013); Pan et al (2012); Tatomir and Rothkrantz (2004); Kponyo et al (2012)), but among them, using Multi Agent System (MAS) is reported as a promising and one of the best approaches for dynamic problems, specially, vehicle routing problem (Kponyo et al (2012); Sur et al (2012)). In addition, ant agents have proven to be superior to other agents in (Bonabeau et al (1999); Dhillon and Van Mieghem (2007); Di Caro and Dorigo (2011)).…”

Section: Introductionmentioning

confidence: 97%

Green vehicle traffic routing system using ant-based algorithm

Jabbarpour

Noor

Khokhar

2015

Journal of Network and Computer Applications

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“…Kponyo et al [15] proposed a distributed intelligent traffic system which uses vehicle average speed as a parameter to determine the traffic condition. This system guides vehicles to paths with low traffic.…”

Section: Figure 4 Multi-ant Colony System [27]mentioning

confidence: 99%

“…Traffic congestion is the initial reason for causing other issues in urban transportation. For instance, heavy traffic congestion leads to a high probability of road accidents [15] and increased air pollution [16].…”

Section: Key Issues and Challenges In Sustainable And Resilient mentioning

confidence: 99%

A Survey on Urban Traffic Optimisation for Sustainable and Resilient Transportation Network

Sang

Zhou

Yang

et al. 2016

2016 9th International Conference on Developments in eSystems Engineering (DeSE)

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-Nowadays, sustainability and resilience have become a major consideration that cannot be neglected in urban development. People are starting to consider utilizing the urban infrastructure environment to maintain and improve the functionality and availability of the urban system when unexpected events take place. Traffic congestion is always a major issue in urban planning, especially when the vehicles in the roadway keep growing and the local authorities are lack of solutions to manage or distribute the traffics in the city. It has huge impact on urban sustainability and resilience such as overload of the city's infrastructure, and air pollution, etc. This paper presents a survey on the challenges of developing sustainable and resilient transportation networks and the current urban traffic optimisation methods, as a possible solution to address such challenges. It aims to describe and define the state of the art on the research on sustainable and resilient transportation networks in urban development and a taxonomy of different traffic optimisation methods used for avoiding traffic congestion and improve urban traffic management.

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Real time status collection and dynamic vehicular traffic control using Ant Colony Optimization

Cited by 17 publications

References 7 publications

Ant colony optimisation for vehicle traffic systems: applications and challenges

Ant colony optimisation for vehicle traffic systems: applications and challenges

Green vehicle traffic routing system using ant-based algorithm

A Survey on Urban Traffic Optimisation for Sustainable and Resilient Transportation Network

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