基于智能感知的公共交通信息服务系统研究

Chen Shenjin, Zhan Chuanchun
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引用次数: 0

摘要

本文针对广州市城市公共交通拥堵、市民出行困难的问题,设计了一种基于智能感知的公共交通信息服务系统,实现人、车、路之间的数据共享和信息交互。该系统采用智能感知和多源信息融合技术,通过识别手机(人)、车载终端(车)和路边节点(路)可感知的交通要素,将乘客无感知地连接到智能交通系统中。人-车-路协同工作环境充分实现了人-车-路的智能协同。系统实现了不同交通场景下各种公共交通、客流、路况等信息的采集,为公共交通公司提供运营、调度、驾驶员管理、设备移动监控等服务,并提供出行路线规划、候车提醒、导航、动态换乘等个性化、精准化服务将提高市民的服务水平和满意度,全面提升城市公共交通服务效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Public Transportation Information Service System Based on Intelligent Perception
Aiming at the problems of urban public transportation congestion in Guangzhou and difficulty for citizens to travel, this paper designs a public transportation information service system based on intelligent perception to realize data sharing and information interaction between people, vehicles and roads. The system uses intelligent perception and multi-source information fusion technology, and connects passengers to the intelligent transportation system without perception through the identification of traffic elements that can be sensed by mobile phones (people), vehicle terminals (cars) and roadside nodes (roads). The human-vehicle-road collaborative working environment fully realizes the intelligent collaboration of human-vehicle-road. The system realizes the collection of various public transportation, passenger flow, road conditions and other information in different traffic scenarios, provides services such as operation, dispatch, driver management, and equipment mobile monitoring for public transportation companies, and provides travel route planning, waiting arrival reminders, and dynamics for travelers Personalized and accurate services such as navigation and dynamic transfer will improve the service level and satisfaction of citizens, and comprehensively improve the efficiency of urban public transportation services.
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