城市智能公共交通系统特性分析及其应用

城市公共交通运输是城市客运主要交通形式之一,智能公共交通系统充分考虑了交通系统中人车路的统一,是城市公共交通的发展方向.在分析智能交通系统体系框架的基础上,从调度、监控、综合服务、运营及其它外部相关信息等五个方面对智能公共交通系统的特点进行了介绍,并结合西安市公交运营状况,探讨了西安市智能公交系统的建设方案,为西安市城市APTS的发展有所借鉴和参考.     

ITS专家谈城市智能交通

未来我国经济社会将继续保持较快发展，汽车保有量必然也要继续增长，那么我们的智能交通发展又该采取什么样的有效策略来实现可持续发展呢？该如何在考虑目前复杂因素和成本的基础上，开展智能交通顶层结构设计和应用管理系统的开发，同时为快速发展的未来预留空间？各大城市智能交通建设现状如何？在诸多差异中，如何探寻适合我国城市智能交通建设的内在的规律？能否建立起一套适合我国国情的智能交通建设理论体系？这些都是迫切需要解决的问题。     

中国国际城市智能交通展5月举办

据悉，由中国智能交通协会、交通运输部科学研究院和荷兰阿姆斯特丹RAI国际展览公司主办的2014年中国国际城市智能交通展览会，将于2014年5月13日在北京展览馆举办。展会将深入探讨我国城市智能交通领域科研需求，促进城市智能交通技术在城市交通体系建设和发展中的应用，     

“构建具有中国特色的新一代城市智能交通系统”——访中国智能交通协会理事长吴忠泽

城市智能交通的发展,不仅是现代城市建设发展的重要内容,也为新技术产业提供了发展的空间。新一代宽带移动通信、下一代互联网、泛在网络、智能终端等在城市交通中都具有广阔应用前景,城市交通为战略性新兴产业提供了广阔的市场环境。针对城市智能交通的未来发展,中国智能交通协会理事长吴忠泽认为,立足国情、运用新技术手段,结合智慧城市建设,构建具有中国特色的新一代城市智能交通系统,将是我国城市智能交通发展的重要方向。     

智能交通监控系统信息管理平台的设计与实现

研究信息管理平台的设计与实现路径,该平台的应用基础是交通监控系统,其主要作用是监控交通状况,提供智能交通指挥场景服务。首先,概述智能交通监控平台设计思想,明确系统设计框架与主要模块;其次,对监控平台设计方案进行介绍,通过做好数据结构、平台架构设计与信息管理平台接口的优化,确保监控信息管理平台功能得到实现;最后,讨论信息管理平台技术实现的具体路径,通过车牌识别、图像处理与OpenCV视觉库等多种措施,为智能交通发展提供支持。     

关于城市智能停车信息系统建设的探讨

随着汽车逐渐走入百姓家庭,城市不仅出现了动态交通的严重阻塞,也出现了停车难、环境恶化等问题,城市停车问题已经成为影响城市交通可持续发展的瓶颈。为了提高停车管理水平,进行智能停车信息系统的研究与建设势在必行。本文通过简述停车信息系统应用情况的基础上,对如何进行城市智能停车信息系统的建设进行了探讨,同时阐明了发展智能停车信息系统的长远意义。     

视频事件检测和图像筛选技术在永武高速公路视频监控系统的运用

事件检测是智能交通系统中的重要组成部分和关键技术。文中结合当前我省高速公路监控系统已有监控设施,对基于视频图像的交通事件检测进行了研究,并完成了系统的开发和运用。     

智能交通中的情报采集与管理

本文介绍了一种智能交通情报采集方法。系统以RFID技术为纽带,给出了系统组成框架形成了电子注册、车辆管理、行进诱导等功能与思想,是智能交通建设的一种探索与尝试,具有很好的应用和推广价值。     

智能交通简介

介绍智能交通的系统的起源、应用和智能交通系统在我国的发展.     

智能交通所

广西交通科学研究院智能交通所主要从事交通信息化、智能化方面的应用研究、产品开发、系统集成施工、设计咨询、信息服务、节能服务等,业务范围涵盖收费监控系统软硬件产品开发,高速公路收费、监控、通信三大系统的设计、施工和监理,电子监控系统的设计、施工和监理,交通     

完整街道扫描仪:智慧城市人居环境感知新技术

完整街道扫描仪以"连通"为目的构建,以移动载具的形式在未来城市的路网中部署、载人运行,借助其上搭载的传感器、车联网功能扩展出对交通流、街道环境、行人进行扫描、记录、分析、影响的能力,成为一种面向未来智慧城市的人居环境感知系统。当完整街道扫描仪成规模部署后,其作用将不仅限制于交通领域,还将深入参与进共享经济、数据安全、城市发展规划,有潜力成为一种新的经济发展模式。本文聚焦从单车智能到人居环境智能的城市管理智能化维度需求演变,从未来交通管理、未来城市管理与数字经济产业支撑三个方向对完整街道扫描仪满足未来智慧城市的需求进行阐述。同时,也总结出了完整街道扫描仪的原型系统概念模型,以及已搭建进行的示范应用。     

集聚经济视角下轨道交通投资对城市系统均衡的影响

随着城镇化进程加快,城市规模增加所带来的集聚效应和交通拥堵等负外部性之间的矛盾越来越突出,优化城市交通基础设施建设是缓解该矛盾的重要举措。本文同时考虑了集聚经济和交通拥挤两种外部性,构建并求解了一个两区域城市空间结构模型,分三种情况探究了轨道交通的投资引入和道路容量的优化对城市规模和城市空间结构均衡的影响。结果表明,轨道交通的投资引入能够增加城市人口规模和社会福利,使城市结构更加紧凑。但是,随着集聚经济水平的提高,城市规划者应逐步完善公交配套设施,以降低公交拥挤成本,提高公交出行分担率;还应制定相应的福利政策,避免由于个体效用下降而导致人口流出。     

城市绿色交通建设与发展策略综述

绿色交通系统对改善城市交通拥堵,减少交通能耗、环境污染,提高城市的宜居性等方面有着积极的推动作用。文章从城市规划和土地利用开发、交通需求管理、交通基础设施建设等方面阐述了城市绿色交通的建设与发展策略,为发展、建设城市绿色交通提供思路。     

“互联网+”交通信号辅助优化机制探索

为优化城市道路交通信号控制方法,本文结合交通信号控制系统建设发展现状,分析当前各大城市交通信号控制系统普遍存在的问题,立足于互联网环境下的浮动车数据,提出基于互联网平台大数据的交通信号控制辅助优化机制。研究发现可利用互联网路口拥堵报警数据及时有效发现问题路口,利用路段拥堵指数及路口交通流参数变化趋势辅助评估配时方案的优化效果,并通过成都市应用实例证明该机制适用于当前交通控制场景需求,可有效辅助交通信号优化工作,是传统交通模式向真正智能交通模式过渡的阶梯。     

A study on smart parking guidance algorithm

Parking problem becomes one of major issues in the city transportation management since the spatial resource of a city is limited and the parking cost is expensive. Lots of cars on the road should spend unnecessary time and consume energy during searching for parking due to limited parking space. To cope with these limitations and give more intelligent solutions to drivers in the selection of parking facility, this study proposes a smart parking guidance algorithm. The proposed algorithm supports drivers to find the most appropriate parking facility considering real-time status of parking facilities in a city. To suggest the most suitable parking facility, several factors such as driving distance to the guided parking facility, walking distance from the guided parking facility to destination, expected parking cost, and traffic congestion due to parking guidance, are considered in the proposed algorithm. To evaluate the effectiveness of the proposed algorithm, simulation tests have been carried out. The proposed algorithm helps to maximize the utilization of space resources of a city, and reduce unnecessary energy consumption and CO₂ emission of wandering cars since it is designed to control the utilization of parking facility efficiently and reduce traffic congestion due to parking space search.     

广州市道路交通规划建设探讨

文章针对广州市道路系统规划的基本状况及存在的问题,结合国外城市道路交通规划建设及管理经验,提出了基于小尺度道路网、合理道路等级级配和快速路系统的城市道路交通规划建设优化措施及建议,为缓解城市交通拥堵提供理论依据。     

Special issue on intelligent transportation systems,big data and intelligent technology

ABSTRACT

Based on the increasing demands of transportation development, the concept of an Intelligent Transportation System (ITS) has received increasing attention in both academic and industry arenas. It integrates information, communications, computers and other technologies, and applies them in the field of transportation to build an integrated system of people, roads and vehicles by utilizing advanced data communication technologies. It can establish a large, fully functioning, real-time, accurate and efficient transportation management system. Intelligent transportation systems shift the focus from road managers to road users. In order to achieve this purpose, intelligent transportation systems use advanced technology to provide drivers with convenient information to help reduce traffic congestion and to increase available road capacity. This special issue is dedicated to exploring the most recent advances in intelligent transportation systems and big data based on intelligent technology.     

Tackling traffic congestion in Accra,Ghana: A road user's perspective

A fast emerging component of the urban transportation problem in cities of the Third World is the problem of traffic congestion. Rapid increases in car ownership coupled with poor land use planning, inadequate road space, lack of regulated parking systems, uneducated use of the road by pedestrians, and bad driving behavior of motorists have all combined to produce congestions comparable to those experienced in cities in the advanced parts of the world. Traffic management measures have been tried in some of the major cities such as road expansion and redistribution of land uses in city centers, but most have produced minimal results. It is recommended in this paper that city authorities adopt an integrated approach to congestion with emphasis on influencing the behavior of the road users.     

Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling

Traffic congestion is rapidly increasing in urban areas, particularly in mega cities. To date, there exist a few sensor network based systems to address this problem. However, these techniques are not suitable enough in terms of monitoring an entire transportation system and delivering emergency services when needed. These techniques require real-time data and intelligent ways to quickly determine traffic activity from useful information. In addition, these existing systems and websites on city transportation and travel rely on rating scores for different factors (e.g., safety, low crime rate, cleanliness, etc.). These rating scores are not efficient enough to deliver precise information, whereas reviews or tweets are significant, because they help travelers and transportation administrators to know about each aspect of the city. However, it is difficult for travelers to read, and for transportation systems to process, all reviews and tweets to obtain expressive sentiments regarding the needs of the city. The optimum solution for this kind of problem is analyzing the information available on social network platforms and performing sentiment analysis. On the other hand, crisp ontology-based frameworks cannot extract blurred information from tweets and reviews; therefore, they produce inadequate results. In this regard, this paper proposes fuzzy ontology-based sentiment analysis and semantic web rule language (SWRL) rule-based decision-making to monitor transportation activities (accidents, vehicles, street conditions, traffic volume, etc.) and to make a city-feature polarity map for travelers. This system retrieves reviews and tweets related to city features and transportation activities. The feature opinions are extracted from these retrieved data, and then fuzzy ontology is used to determine the transportation and city-feature polarity. A fuzzy ontology and an intelligent system prototype are developed by using Protégé web ontology language (OWL) and Java, respectively. The experimental results show satisfactory improvement in tweet and review analysis and opinion mining.     

基于熵权TOPSIS法的绿色交通发展分析——以舟山为例

绿色交通是一种低污染且有利于城市环境多元化的城市交通运输系统。这可以解决我国因私人汽车增加等原因所带来的交通拥堵、汽车排放尾气增加、资源短缺、城市能耗严重、生态环境破坏和空气污染等问题。且该运输系统该运输系统在解决以上问题的同时,可以降低建设维护成本和促进社会公平。目前,我国绿色交通发展在持续进步,本文以舟山为例,从基础指标、交通工具和道路建设三个方面选取数据,并将熵权法和TOPSIS法结合对2016年至2018年舟山绿色交通的发展状况进行分析,结果表明,舟山2017年绿色交通发展状况最优,其次是2018年。