上海大连路隧道将成为中国首条5G跨江隧道

正近日,在"国务院国资委与上海市政府深化合作共同推进落实国家战略签约仪式"上,上海隧道工程股份有限公司与中国联通签署战略合作协议,双方表示,将跨界合作,共同开创5G时代智能交通、智慧城市,建设新未来。大连路隧道将成为中国联通与隧道股份联手合作、打造智慧城市基础设施的试点样板之一,也将成为中国首条5G跨江隧道。     

可持续发展服务型智慧化公路交通研究

随着我国交通基础建设的日益完善与发展,我国公路交通的布局逐渐形成了以城市为节点,以公路为网线而逐个连接起来的网状式公路交通系统.随着信息化与人口素质等的发展,我国对于城镇智能化的需求日趋明显,因而对于智慧交通的需求也愈发明显.本文通过总结世界道路的发展简史并结合当前信息技术的普及与城镇智能化的提出,科学性地预测出了未来智慧公路的服务走向,并给出了有关未来智慧公路服务模式的合理的发展建议.分析表明,未来的公路交通将智慧性融合人、车、路三方,最终实现智慧一体化的高效率公路交通系统.     

“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。     

史其信:车联网促卫星导航发展

在后金融危机时代,世界各国正在进行抢占科技制高点的竞赛,全球进入空前的创新密集和产业振兴时代。作为新兴产业和科技创新的代表,物联网成为经济危机后期国际竞争的制高点,从"智慧地球"到"感知中国"都体现出决策者对物联网的高度重视。我国政府将物联网应用的重点领域确定在环境监控、物品溯源、智能电网和智能交通等领域,其中,以"车联网"为代表的下一代智能交通系统成为国家     

智能汽车与智慧交通产业创新示范区在京成立

正2016年1月18日,"智能汽车与智慧交通产业创新示范区"成立发布会在北京经济技术开发区举办,工信部、北京市、河北省共同签订"基于宽带移动互联网的智能汽车与智慧交通应用示范"框架合作协议,15家企事业单位发起设立"智能汽车与智慧交通产业联合创新中心",4家企业发起设立北京未来车联网创新基金。据了解,创新中心将通过在北京经济技术开发区应用示范建设,突破与沉淀一批智能汽车与     

国内城市智慧交通发展探讨

智慧交通是充分融合了智能交通与数字化交通的一种更为高级的现代城市交通模式。文章基于国内城市交通发展实际需求,分析了物联网技术背景下的城市智慧交通发展现状,并从智能化新技术装备以及信息化应用管理系统等方面提出了智慧交通建设发展的新思路。     

上海申通地铁集团与商汤科技签署战略合作意向

正近日,上海申通地铁集团有限公司与商汤科技(Sense Time)在沪签署战略合作意向,并共同揭牌"上海轨道交通智慧视觉联合实验室"。双方将本着"合作发展、互利共赢"的原则,共同推进城市轨道交通产业智能升级,为城市精细化管理做出贡献。根据协议,申通集团与商汤科技将围绕建设"智慧上海"、"智慧地铁"的发展战略,以上海轨     

城际ITS共用信息平台互联研究

在经济发展和交通需求的推动下,建设智能交通系统及其共用信息平台成为我国各大、中城市发展交通的方向。现已有十个城市先后被列为国家ITS示范试点城市,将逐步建立各自的ITS共用信息平台。但各个城市的共用信息平台只能实现对其城市内部信息的组织和管理,而临近的城市组成的城市群往往形成一个经济、文化交流频繁的整体,其中各城市信息综合管理和交流的需求将逐步扩大,而这些是分散的共用信息平台无法完成的。本文将以珠江三角洲地区中广州、深圳和中山三个ITS示范试点城市为背景,提出城际ITS共用信息平台互联的思想,针对其各自ITS系…     

程世东:智慧停车为何这么火? 政府新基建、新高度促完善成熟

据统计,2019年城市智能交通市场过亿项目共计29个,其中城市智慧停车类项目有10个(已发布中标公告信息的21个项目中,智慧停车项目7个).从项目数量看,智慧停车项目占到1/3左右,在"交通大脑""雪亮工程"和传统的信号灯控制系统占主导的智能交通市场中,显得非常突出.     

记“2014智慧城市高层论坛” 顶层设计后的深度思考

<正>智慧城市为实现中国梦,提供了一个现实基础,智慧城市理念为未来城市发展,展现了一个美好蓝图。走集约、绿色、低碳智能的道路,促进城市智能化、网络化、个性化发展,建设智慧城市日益成为各界共识。以"开放·发展·服务——聚焦智慧城市建设新阶段"为主题的2014智慧城市高层论坛,于5月15日在北京新世纪日航饭店举办。回顾往期主题不难看出,智慧城市高层论坛所秉持的与时俱进、把握智慧城市建设脉搏、超前为智慧城市建设中心任务聚智献     

城市主要道路平面交叉口安全管理方法

文章基于现今城市干道平面交叉口交通流量密集的状况,分析讨论影响平面交叉口安全管理的因素,提出了交叉口安全管理方法和一些改进措施,为提高城市道路交叉口的交通安全管理提供依据。     

低碳经济背景下河谷型城市交通级配体系研究

文章针对交通方式的合理比例分配问题,提出了交通级配的概念,构建了城市交通级配体系,并基于对西部河谷型城市道路网络特征的分析,以兰州市为例,提出了相应的交通管理措施,为城市绿色交通建设的实现提供方法借鉴。     

Analyzing spatiotemporal traffic line source emissions based on massive didi online car-hailing service data

Nowadays, the massive car-hailing data has become a popular source for analyzing traffic operation and road congestion status, which unfortunately has seldom been extended to capture detailed on-road traffic emissions. This study aims to investigate the relationship between road traffic emissions and the related built environment factors, as well as land uses. The Computer Program to Calculate Emissions from Road Transport (COPERT) model from European Environment Agency (EEA) was introduced to estimate the 24-h NOx emission pattern of road segments with the parameters extracted from Didi massive trajectory data. Then, the temporal Fuzzy C-Means (FCM) Clustering was used to classify road segments based on the 24-h emission rates, while Geographical Detector and MORAN’s I were introduced to verify the impact of built environment on line source emissions and the similarity of emissions generated from the nearby road segments. As a result, the spatial autoregressive moving average (SARMA) regression model was incorporated to assess the impact of selected built environment factors on the road segment emission rate based on the probabilistic results from FCM. It was found that short road length, being close to city center, high density of bus stations, more ramps nearby and high proportion of residential or commercial land would substantially increase the emission rate. Finally, the 24-h atmospheric NO₂ concentrations were obtained from the environmental monitor stations, to calculate the time variational trend by comparing with the line source traffic emissions, which to some extent explains the contribution of on-road traffic to the overall atmospheric pollution. Result of this study could guide urban planning, so as to avoid transportation related built environment attributes which may contribute to serious atmospheric environment pollutions.     

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.     

Optimal deployment of charging lanes for electric vehicles in transportation networks

Given the rapid development of charging-while-driving technology, we envision that charging lanes for electric vehicles can be deployed in regional or even urban road networks in the future and thus attempt to optimize their deployment in this paper. We first develop a new user equilibrium model to describe the equilibrium flow distribution across a road network where charging lanes are deployed. Drivers of electric vehicles, when traveling between their origins and destinations, are assumed to select routes and decide battery recharging plans to minimize their trip times while ensuring to complete their trips without running out of charge. The battery recharging plan will dictate which charging lane to use, how long to charge and at what speed to operate an electric vehicle. The speed will affect the amount of energy recharged as well as travel time. With the established user equilibrium conditions, we further formulate the deployment of charging lanes as a mathematical program with complementarity constraints. Both the network equilibrium and design models are solved by effective solution algorithms and demonstrated with numerical examples.     

Ensemble based traffic light control for city zones using a reduced number of sensors

Rapid advances in computing, sensing and telecommunication technology offer unprecedented opportunities for artificial intelligence concepts to expand their applications in the field of traffic management and control. Our methodology gravitates around a powerful decision-making method: ensemble-based systems. This technique is used to accurately classify the near future traffic conditions and to make efficient decisions for adapting the traffic lights sequences within an urban area to optimize the traffic flows. The proposed approach requires only measurements provided by traffic sensors located along the principal roads entering the zone. This reduced number of sensors are considered to be enough relevant for classifying the near future state of the traffic and moreover, their measurements can be validated through analytical/hardware redundancy. Our methodology is meant to be implemented within the framework of a wireless sensor and actuator network and is confirmed by computer simulation, including normal or abnormal traffic conditions, for the central part of the city of Timisoara-Romania.     

The power of reforming streets to boost access for human-scaled vehicles

This commentary argues for strategies to rapidly increase access by small, human-scaled modes in cities through changes to street designs. Such rapid transformations are necessary as part of responses to critical environmental, economic and public health challenges cities face. We explain that even though coordinated transport and land use planning is desirable, the built environment is mature and slow to change, while streets can and have changed in character and use frequently. This suggests that access to employment, amenities and services should be dramatically increased through reoriented street space toward human-scaled transport modes which will improve safety, reduce pollution, and save households and governments money. We then articulate the prospects of a new generation of accessibility research based on network evolution.     

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。     

A universal distribution law of network detour ratios

Using trajectory data of normal taxis and ride-sourcing vehicles for 10 cities with various sizes in China, we analyze trip distance characteristics by examining the distribution of network detour ratios. The detour ratio for a specific ride is the ratio of the actual driving distance to the corresponding Euclidean (straight-line) distance. We find that, in spite of their different sizes and geographical features, the various cities exhibit an amazingly similar distribution law of network detour ratios: the mean of the detour ratios is inversely proportional to the Euclidean distance with an intercept. We further verify our findings with extensive simulation experiments for a hypothetical circular city with a directional grid street network. Our finding of this universal distribution law of network detour ratios contrasts sharply with the traditional wisdom of modeling throughout the past 50 years that have typically assumed a constant road detour ratio or factor within the range of 1.25–1.41. Our finding in the urban context also has far-reaching implications for fundamental research in many fields such as human mobility, human geography, facility location problems, logistic distribution networks and urban transportation planning.     

Required navigation performance for connected and autonomous vehicles: where are we now and where are we going?

ABSTRACT

While automotive original equipment manufacturers and IT companies are developing and demonstrating self-driving cars, true autonomy will not be realised in the near future due in part to the technology readiness level of the existing systems as well as issues of ethics, security, governance and standards surrounding the implementation of autonomy for road transport. However, advances in cellular phones and networks, satellite-based positioning and communications, cloud computing, combined with a rise in the volumes of available data, allied with a reduction in their costs, offer the very real possibility of connecting vehicles, one to another and to smart city infrastructure as part of the Internet of Things (IoT). Data from connected vehicles, when combined with other information, may provide valuable intelligence to traffic managers and other stakeholders via cooperative intelligent transport system (C-ITS) platforms. Nevertheless, many issues face the implementation of a truly connected IoT in general and C-ITS in particular.