An adaptive vehicle guidance system instigated from ant colony behavior

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

doi:10.1109/icsmc.2010.5642001

Cited by 20 publications

(14 citation statements)

References 33 publications

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“…In [24] a city based parking routing system that depend on Ant based routing has been introduced. In [25] an adaptive vehicle guidance system inspired from the ant behavior was introduced. The system adjusts the route choice based on the real-time changes in the road network.…”

Section: Related Workmentioning

confidence: 99%

Improving the performance of TAntNet-2 by using multi forward scouts

Ghazy

Hefny

2015

2015 Tenth International Conference on Computer Engineering &Amp; Systems (ICCES)

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Dynamic Traffic Routing System is an important intelligent transport system that is used to direct vehicles to good routes and consequently reduce congestion on the road network. The performance of dynamic routing system depends on a dynamic routing algorithm. AntNet algorithm is a routing algorithm inspired from the foraging behavior of ants. TAntNet is a family of dynamic routing algorithms that uses a threshold travel time to enhance the performance of AntNet algorithm when applied to traffic road networks. This paper presents new improvements on TAntNet algorithms. The new improving TAntNet algorithm uses Multi forward agents instead of one compared with AntNet and TAntNet-2. The new technique saves the discovered routes of each of the forward agents and the corresponding backward ant uses the best of them. Experiments showed better performance for the proposed new mechanism of launching multi forward agents for each single agent compared with the old mechanisms of launching only one forward agent for each backward agent.

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Section: Related Workmentioning

confidence: 99%

Improving the performance of TAntNet-2 by using multi forward scouts

Ghazy

Hefny

2015

2015 Tenth International Conference on Computer Engineering &Amp; Systems (ICCES)

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“…Zong et al (2010) Multi-ant colony system for Manage evacuation routing evacuation routing problem with problems with mixed mixed traffic flow traffic flow. Kammoun et al (2010) An adaptive vehicle guidance Use real-time traffic information to system instigated from ant increase the global velocity colony behaviour of the road network. Foroughi et al (2008) Designing of a new urban traffic Minimise congestion time by the control system using modified ant global management of most trips colony optimisation approach conducted in the control area.…”

Section: Variable-based Acpmentioning

confidence: 99%

“…They also used a path with minimum traffic and length to optimise travel time, fuel consumption, and air pollution. Kammoun et al (2010) proposed an adaptive vehicle guidance system that intelligently finds the best route by using real-time changes in the network. To achieve dynamic traffic control and improve driver request management, this method used three types of agents, namely, city agent, road supervisor agent and intelligent vehicle-ant agent.…”

Section: Step-based Acpmentioning

confidence: 99%

“…However, bees, birds and ants are the most famous animals which are the source of inspiration for designing bio-inspired methodologies in computer science, specially in vehicle traffic system (VTS). The meta-heuristic particle swarm optimisation (PSO) was proposed by Kennedy and Eberhart (1995) is loosely modelled on group behaviour, such as bird flocking and fish schooling (Ali and Sabat, 2012). Vehicle routing problem with time windows is one of the PSO-based strategies which is developed by Zhu et al (2006).…”

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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“…Kammoun et al [27] however proposed an adaptive vehicle guidance system which is able to search for the best path in a smarter way by using real-time changes in the network. In order to achieve dynamic traffic control and improve driver's request management, this method used three types of agents, which are:…”

Section: Figure 3 Flowchar For Determining the Optimum Path Using Thementioning

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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An adaptive vehicle guidance system instigated from ant colony behavior

Cited by 20 publications

References 33 publications

Improving the performance of TAntNet-2 by using multi forward scouts

Improving the performance of TAntNet-2 by using multi forward scouts

Ant colony optimisation for vehicle traffic systems: applications and challenges

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

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