Vehicular Ad-Hoc Networks sampling protocols for traffic monitoring and incident detection in Intelligent Transportation Systems

Vehicular Ad-Hoc Networks (VANETs) are an emerging technology soon to be brought to everyday life. Many Intelligent Transport Systems (ITS) services that are nowadays performed with expensive infrastructure, like reliable traffic monitoring and car accident detection, can be enhanced and even entirely provided through this technology. In this paper, we propose and assess how to use VANETs for collecting vehicular traffic measurements. We provide two VANET sampling protocols, named SAME and TOME, and we design and implement an application for one of them, to perform real time incident detection. The proposed framework is validated through simulations of both vehicular micro-mobility and communications on the 68 km highway that surrounds Rome, Italy. Vehicular traffic is generated based on a large real GPS traces set measured on the same highway, involving about ten thousand vehicles over many days. We show that the sampling monitoring protocol, SAME, collects data in few seconds with relative errors less than 10%, whereas the exhaustive protocol TOME allows almost fully accurate estimates within few tens of seconds. We also investigate the effect of a limited deployment of the VANET technology on board of vehicles. Both traffic monitoring and incident detection are shown to still be feasible with just 50% of equipped vehicles.     

Complex Network Topology of Transportation Systems

ABSTRACT

As a strategic factor for a country to survive in the global competition, transportation systems have attracted extensive attention from different disciplines for a long time. Since the introduction of complex network theory in the last decade, however, studies on transport systems have witnessed dramatic progress. Most roads, streets, and rails are organized as a network pattern, while link flows, travel time, or geographical distance are regarded as weights. In this article, the authors will present the current state of topological research on transportation systems under a complex network framework, as well as the efforts and challenges that have been made in the last decade. First, different kinds of transportation systems should be generalized as networks in different ways, which will be explained in the first part of this paper. We follow this by summarizing network measures that describe topological characteristics of transportation networks. Then we discuss the empirical observations from the last decade on real transportation systems at a variety of spatial scales. This paper concludes with some important challenges and open research frontiers in this field.     

首都机场地面交通的智能化管理

机场作为城市重要交通枢纽,具有规模大、车流量集中、交通方式多样、人员来往密集等特点。当前旅客不断提升的期望值、日益增加的运行压力以及业内激烈的竞争,促使机场运营方的角色从单一管理者向多样服务提供者转变。因此,利用互联网技术实现机场的智能化管理,满足旅客多样化、精确化的服务需求,是目前机场地面交通经营的重要课题。本文从车辆引导、智能收费、实时定位等方面研究了首都机场如何利用互联网这一工具解决当前机场地面交通中遇到的排队时间久、机场巴士信息不明确等问题。此外,本文还规划出智能化管理将在简化流程、提升效率、降低管理成本等方面发挥的作用。     

物联网平台下智能交通系统体系框架研究

文章以现有智能交通系统体系框架为基础,提出以结构化方法制定物联网平台下智能交通系统体系框架,并以结构化方法的基本步骤为主线,结合物联网工作原理和自主体系结构,从用户服务、逻辑框架、物理框架三方面探讨新体系框架与现有体系框架的差别。     

福州市交通安全与智能交通系统探讨

智能交通系统是一个高科技集成系统,它综合运用各种高新技术于整个交通管理系统之中,可以系统、全面、高效地提高交通运输的安全性.文章阐述了智能交通系统在交通安全中的作用及在福州市的应用情况,指出了福州市发展智能交通的方向,以提高福州市的交通安全管理水平.     

太阳能道路在智慧交通中的应用前景分析

本文简述了国内外太阳能道路的研究现状,对太阳能道路的机理进行简要概括,初步探讨了太阳能道路功能特点,并分析太阳能道路的路用性能,展望太阳能道路在我国建设智慧交通中的应用前景。     

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     

智能巡检系统在输油生产管理中的应用

介绍了一种采用无线感应技术研制的智能化岗位巡检管理系统，该系统由信息钮，个人身份卡，巡检手持机，计算机及软件组成。巡检人员持手持机进行岗位巡检并采集现场信息钮的信息，之后将采集的数据用计算机进行管理，打印出退检报告供管理人员进行监督，检查，考核与管理。这种系统首次应用于输油生产管理，取得了良好的效果。