Modeling Ant Colony Optimization for Multi-Agent based Intelligent Transportation System

Based on GPS and RFID technology, a vehicle path planning guidance system is analyzed in this paper. Specially, the ant colony optimization in the vehicle path planning application of Internet in vehicles environment is proposed, and an improved strategy is put forward to provide an efficient path planning algorithm for the construction of intelligent transportation system. As an alternative of wireless radio and guidance display screen and other primary induction means, the ant colony optimization in this work could supply some significant exploring and thinking for currently construction of the intelligent transportation system.

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An enhanced routing algorithm using ant colony optimization and VANET infrastructure

MATEC Web of Conferences ◽

10.1051/matecconf/201925902009 ◽

2019 ◽

Vol 259 ◽

pp. 02009 ◽

Cited By ~ 2

Author(s):

Noussaiba Melaouene ◽

Rahal Romadi

Keyword(s):

Ant Colony Optimization ◽

Shortest Path ◽

Road Network ◽

Intelligent Transportation System ◽

Routing Algorithm ◽

Optimal Path ◽

Intelligent Transportation ◽

Transportation System ◽

Ant Colony ◽

Specific Time

For the last fifty years, finding efficient vehicle routes has been studied as a representative logistics problem. In the transportation field, finding the shortest path in a road network is a common problem. VANET presents an innovation opportunity in the transportation field that enables services for intelligent transportation system (ITS) especially communication features. Because of VANET features [1] and despite road obstacles, a route for the shortest path can be established at a given moment. This paper proposes an enhanced algorithm, based on ACO Ant Colony Optimization and related to VANET infrastructure that aims to find the shortest path from the source to destination through the optimal path; in addition, a storage on static nodes is installed in each intersection in a VANET environment and for a specific time.

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Distributed Hierarchical Control for High-Speed Railway Intelligent Transportation System Based on Multi-Agent

ICTE 2013 ◽

10.1061/9780784413159.191 ◽

2013 ◽

Author(s):

Yao Wang

Keyword(s):

High Speed ◽

Intelligent Transportation System ◽

Hierarchical Control ◽

Intelligent Transportation ◽

Transportation System ◽

High Speed Railway ◽

Multi Agent

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An Intelligent Transportation Systems Model Based on Multi-Agent Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.484-485.1101 ◽

2014 ◽

Vol 484-485 ◽

pp. 1101-1105

Author(s):

Jing Ya Chen

Keyword(s):

Intelligent Transportation Systems ◽

Intelligent Transportation System ◽

Intelligent Transportation ◽

Transportation System ◽

Control Agent ◽

Transportation Systems ◽

Agent Technology ◽

Loosely Coupled ◽

Systems Model ◽

Multi Agent

Intelligent transportation system based on multi-agent, become a important method, also is to solve the complex traffic problems. In the geography of the property of the agent in the heterogeneous environment cause implementation difficulties such as interoperability requirements, make the agent of unity between software platforms as a potential infrastructure. This paper puts forward a model and the more intelligent transportation system based on SOA. The model includes four major parts: infrastructure, services, agency, and coordination agent. Elements The model of the agent into different levels and groups, including organization agent, regional control agent, agent, road section road intersection vehicle control agent, the acting to complete different function and goal. Based on the SOA multi-agent technology, can realize the cross-platform loosely coupled, and interoperability and heritage reuse in distributed and heterogeneous network traffic system.

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