Connected Vehicle Based Traffic Dynamic Modeling and Proactive Freeway Control to Improve Mobility
基于联网车辆的交通动态建模和主动高速公路控制以提高移动性
基本信息
- 批准号:RGPIN-2016-06754
- 负责人:
- 金额:$ 2.26万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Intelligent Transportation Systems (ITS) represent a major effort by researchers, policymakers and industry professionals to enable vehicles to communicate critical information with other vehicles and surrounding infrastructure via wireless networks. Connected Vehicle (CV) technology is one of the latest and most innovative developments within ITS. The core of CV technology is wireless communication within a highly mobile environment. To improve mobility and safety, transportation management agencies across the world are developing and implementing ITS strategies. Although the concept of CV was introduced only a few years ago, it has evolved quickly; however, there is still a research gap in Canada regarding how CV technology can improve freeway mobility for all road users.***The proposed research program aims to bridge the ITS gap in Canada by exploring innovative, scientifically sound, and technologically feasible solutions for enhancing CV technology in proactive freeway control. This augments the Government of Canada's effort to develop and leverage a safe, innovative and sustainable, world-class, multi-modal transportation strategy that supports a growing economy and a high quality of life for Canadians.***Over the past six years, with the support from a NSERC Discovery Grant and as planned in the original test bed proposal, the City of Edmonton and Alberta Transportation have been working closely with my research team on the Whitemud Drive and Anthony Henday Drive test beds. With the infrastructure funding support from CFI, Transport Canada, Alberta Transportation, and City of Edmonton, within the next three years, my research program will install 10 Roadside Equipment (RSE) units along Whitemud Drive, 8 RSE along Anthony Henday Drive, and put 200 vehicle On-Board Equipment (OBE) units into 200 vehicles to support this research program. ***With the potential support from the NSERC Discovery Grant for the next five years, several fundamental research topics will be explored: 1) How the new data generated from the CV technology will be used to enhance existing data sources; 2) The capabilities and potential, in terms of driver behaviour, roadways and vehicles, of DSRC-based On-Board Equipment (OBE) to determine whether OBE can be used to improve traffic data capturing and freeway management; 3) How existing smart devices and CV technology can work together as an advisory tool for travellers, through analytic modeling and analysis.**
智能交通系统(ITS)代表了研究人员、政策制定者和行业专业人士的一项重大努力,使车辆能够通过无线网络与其他车辆和周围的基础设施进行关键信息的通信。互联汽车(CV)技术是ITS领域最新、最具创新性的发展之一。CV技术的核心是高度移动的环境中的无线通信。为了提高机动性和安全性,世界各地的运输管理机构正在制定和实施ITS战略。虽然CV的概念在几年前才被引入,但它已经迅速发展;然而,在加拿大,关于CV技术如何为所有道路使用者改善高速公路机动性的研究仍然存在空白。拟议的研究计划旨在通过探索创新的,科学的,技术上可行的解决方案,以加强CV技术在主动高速公路控制在加拿大ITS的差距。这加强了加拿大政府制定和利用安全,创新和可持续,世界一流的多式联运战略的努力,以支持加拿大人不断增长的经济和高质量的生活。在过去的六年里,在NSERC发现补助金的支持下,并按照最初的试验台提案中的计划,埃德蒙顿市和阿尔伯塔交通部门一直在与我的研究团队密切合作,研究Whitemud Drive和Anthony Henday Drive试验台。在CFI、加拿大交通部、阿尔伯塔交通部和埃德蒙顿市的基础设施资金支持下,在未来三年内,我的研究计划将在沿着Whitemud Drive安装10个路边设备(RSE)单元,在沿着Anthony Henday Drive安装8个RSE单元,并在200辆车中安装200个车载设备(OBE)单元来支持本研究计划。* 在未来五年内,NSERC Discovery Grant的潜在支持下,将探索几个基础研究主题:1)如何使用CV技术生成的新数据来增强现有数据源; 2)在驾驶员行为、道路和车辆方面的能力和潜力,基于DSRC的车载设备(OBE),以确定OBE是否可用于改善交通数据采集和高速公路管理; 3)现有的智能设备和CV技术如何通过分析建模和分析,共同作为旅行者的咨询工具。**
项目成果
期刊论文数量(0)
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会议论文数量(0)
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Qiu, Zhijun(Tony)其他文献
Qiu, Zhijun(Tony)的其他文献
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{{ truncateString('Qiu, Zhijun(Tony)', 18)}}的其他基金
Connected Vehicle Based Traffic Dynamic Modeling and Proactive Freeway Control to Improve Mobility
基于联网车辆的交通动态建模和主动高速公路控制以提高移动性
- 批准号:
RGPIN-2016-06754 - 财政年份:2017
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
Connected Vehicle Based Traffic Dynamic Modeling and Proactive Freeway Control to Improve Mobility
基于联网车辆的交通动态建模和主动高速公路控制以提高移动性
- 批准号:
RGPIN-2016-06754 - 财政年份:2016
- 资助金额:
$ 2.26万 - 项目类别:
Discovery Grants Program - Individual
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