The Application of Wireless Communications and Multi-agent System in Intelligent Transportation Systems

2011 ◽  
pp. 391-397
Author(s):  
Wei Xiaowei
Keyword(s):  
Wireless Communications ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Assessment of Rural Intelligent Transportation System Wireless Communications Solutions

2000 ◽  
Vol 1739 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Qingyan Yang ◽  
Virginia Sisiopiku ◽  
Jim A. Arnold ◽  
Paul Pisano ◽  
Gary G. Nelson
Keyword(s):  
Wireless Communications ◽  
Wireless Communication ◽  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
Communication Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Future Research ◽  
Wireless Communication Systems ◽  
Rural Environments

Rural transportation systems have different features and needs than their urban counterparts. To address safety and efficiency concerns in rural environments, advanced rural transportation systems (ARTS) test and deploy appropriate intelligent transportation systems (ITS) technologies, many of which require communication support. However, wireless communication systems that currently serve urban areas often are not available or suitable in rural environments. Thus, a need exists to identify communication solutions that are likely to address successfully the needs and features of ARTS applications. Current and emerging wireless communications systems and technologies have been systematically assessed with respect to rural ITS applications. Wireless communication functions associated with rural ITS functions are first identified. Then requirements for applicable communication technologies in the rural environment are defined. Existing and emerging wireless communication systems and technologies are reviewed and evaluated by a systematic process of assessing rural ITS wireless solutions. Finally, recommendations for future research and operational tests are offered. The analysis results are expected to benefit rural ITS planners by identifying suitable wireless solutions for different rural contexts.

scholarly journals A Review on Intelligent Agent Systems

2011 ◽  
pp. 200-215
Author(s):  
Lokanath Sarangi ◽  
Dr. Chittaranjan Panda
Keyword(s):  
Problem Solving ◽  
Real Life ◽  
Transportation Systems ◽  
Performance Measure ◽  
Future Application ◽  
Problem Solver ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Problem Solvers

Multi-agent system (MAS) is a common way of exploiting the potential power of agent by combining many agents in one system. Each agent in a multivalent system has incomplete information and is in capable of solving entire problem on its own. Multi-agent system offers modularity. If a problem domain is particularly complex, large and contain uncertainty, then the one way to address, it to develop a number of functional specific and modular agent that are specialized at solving various problems individually. It also consists of heterogeneous agents implemented by different tool and techniques. MAS can be defining as loosely coupled network of problem solvers that interact to solve problems that are beyond the individual capabilities or knowledge of each problem solver. These problem solvers, often ailed agent are autonomous and can be heterogeneous in nature. MAS is followed by characteristics, Future application, What to be change, problem solving agent, tools and techniques used, various architecture, multi agent applications and finally future Direction and conclusion. Various Characteristics are limited viewpoint, effectively, decentralized; computation is asynchronous, use of genetic algorithms. It has some drawbacks which must be change to make MAS more effective. In the session of problem solving of MAS, the agent performance measure contains many factors to improve it like formulation of problems, task allocation, organizations. In planning of multivalent this paper cover self-interested multivalent interactions, modeling of other agents, managing communication, effective allocation of limited resources to multiple agents with managing resources. Using of tool, to make the agent more efficient in task that are often used. The architecture o MAS followed by three layers, explore, wander, avoid obstacles respectively. Further different and task decomposition can yield various architecture like BDI (Belief Desire Intension), RETSINA. Various applications of multi agent system exist today, to solve the real-life problems, new systems are being developed two distinct categories and also many others like process control, telecommunication, air traffic control, transportation systems, commercial management, electronic commerce, entertainment applications, medical applications. The future aspect of MAS to solve problems that are too large, to allow interconnection and interoperation of multiple existing legacy systems etc.

An Intelligent Transportation Systems Model Based on Multi-Agent Technology

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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