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【图书馆系列讲座】英语学术论文写作
【图书馆系列讲座】核心期刊投稿导引与科研评价新趋势解读
Matter编辑见面会:Publishing with Cell Press in Material Science
Photoenzymatic Catalysis– Using Light to Reveal New Enzyme Functions
报告题目:
State of Art and Practice: IntelliDrive and Active Traffic Management
 报告人:
Zhijun Qiu
Assistant Professor, 
Department of Civil and Environment Engineering, 
University of Alberta,
 Canada
报告时间:
2010-12-22 14:30
报告地点:
#407, Central Main Building, Tsinghua University
主办单位:
Departmen of Automation
  简介:

Abstract:

IntelliDrive, termed as Vehicle Infrastructure Integration (VII) previously, is one promising technology in the Intelligent Transportation System (ITS) field. IntelliDrive technology makes vehicle, roadside infrastructure and traffic management center (TMC) infrastructure more interactive, and provides the feasibility to generate more comprehensive and accurate traffic data which are very helpful to improve traffic management efficiency. Active traffic management (ATM) tries to make full use of available real-time traffic data sources to predict short-term future traffic states, implement and coordinate several different control methods, and intends to manage traffic more effectively. Almost all the existing traffic monitoring systems only can provide point based real-time traffic data, IntelliDrive based probe data with potentially high penetration rate provide the feasibility to generate more accurate and large scale density and space mean speed, together with the point based traffic data from existing traffic systems.

It is believed that reduced traffic congestion leads to reductions in car idling and wasteful accelerate/decelerate cycles, which leads to less carbon dioxide emissions. Improving freeway traffic mobility aims to mitigate traffic congestion, decrease journey travel time and reduce Greenhouse Gas emission. IntelliDrive Based Active Traffic Management is a promising solution to improve traffic mobility and safety for both freeway and arterial roadway network.

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