采用A*算法的自动出租车/出租车系统

Santosh Kumar, Sumit Kumar
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引用次数: 2

摘要

一种采用多智能体方法的出租车自动调度系统[8][10]旨在以分布式方式为所有乘客提供服务。自动出租车系统是一种基于位置的交通传感方法,包含分布式出租车预订和监控。计划,行动和学习概念的移动机器人是必要的,以实现自动出租车系统。本文还讨论了移动机器人的定位和映射概念,以在未知环境中建立地图,同时保持其当前位置。本文提出的路径导航系统(自动出租车系统)使用A*(A- star)算法来寻找源和目的地之间的最短路径。该系统采用乐高Mindstrom NXT平台和LeJOS NXJ(编程语言)实现。我们进一步提出了另一种基于启发式的算法来实现相同的目标,该算法实现和执行速度快。
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Automated taxi/cab system using A* algorithm
An Automated Taxi Dispatch System with Multi-agent approach [8] [10] is intends to serve all the customers in distributed fashion. The Automated Taxi System is a location based, traffic-sensing approach that incorporate distributed taxi booking and monitoring. Planning, Acting and Learning concepts of mobile robotics are requisite to implement the Automated Taxi System. In this paper we also concern with Localization and Mapping concept of Mobile Robotic to build up a map within an unknown environment and at the same time keeping of their current positions. The Proposed Path Navigation System (Automated Taxi System) is using A*(A-Star) algorithm to find the shortest path between source and destination. The proposed system is implemented using the Lego Mindstrom NXT platform and LeJOS NXJ (The programming language). We furthermore proposed another Heuristics based algorithm to accomplish the same objective that is rapid to implement and perform.
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