Advancing traffic management using bluetooth/wifi and connected vehicle data
使用蓝牙/WiFi 和联网车辆数据推进交通管理
基本信息
- 批准号:565709-2021
- 负责人:
- 金额:$ 2.19万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The proposed research is a collaborative effort between the University of Waterloo and SMATS, a leading intelligent transportation systems solution provider, aiming to develop new traffic performance measurement and signal control systems using Bluetooth/Wifi and connected vehicle (CV) data. Specifically, the proposed research is to achieve the objectives of developing new metrics for assessing the road traffic performance at various spatiotemporal scales; developing new AI-based traffic signal control methods that can take advantage of the new Big Traffic Data sources; and exploring innovative simulation-based techniques for assessing the effectiveness of the proposed performance metrics and control models. The proposed research will address the challenge posed by two strikingly different data sources: high-frequent but low-quality Bluetooth/Wifi data vs. low-frequent but high-quality CV data. It will generate new knowledge, innovative traffic analysis and signal control methodologies, and new solutions and products that can be immediately tested and implemented in the field for improved road safety, sustainability, and mobility, benefiting Ontario and all municipalities across Canada.
该研究由滑铁卢大学和领先的智能交通系统解决方案提供商SMATS合作开展,旨在开发使用蓝牙/Wifi和联网车辆(CV)数据的新型交通性能测量和信号控制系统。具体而言,建议的研究是为了实现在不同时空尺度上评估道路交通性能的新指标;开发新的基于人工智能的交通信号控制方法,利用新的交通大数据源;并探索创新的基于仿真的技术来评估所提出的绩效指标和控制模型的有效性。拟议的研究将解决两种截然不同的数据源所带来的挑战:高频但低质量的蓝牙/Wifi数据与低频但高质量的CV数据。它将产生新的知识、创新的交通分析和信号控制方法,以及新的解决方案和产品,这些解决方案和产品可以立即在现场进行测试和实施,以提高道路安全性、可持续性和机动性,使安大略省和加拿大所有城市受益。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Fu, Liping其他文献
CFHTLenS tomographic weak lensing cosmological parameter constraints: Mitigating the impact of intrinsic galaxy alignments
CFHTLenS 层析成像弱透镜宇宙学参数约束:减轻固有星系排列的影响
- DOI:
10.1093/mnras/stt601 - 发表时间:
2013-03 - 期刊:
- 影响因子:4.8
- 作者:
Fu, Liping;Harnois-Deraps, Joachim;Hudson, Michael J.;Kuijken, Konrad;Rowe, Barnaby;Schrabback, Tim;Semboloni, Elisabetta;Vafaei, Sanaz;Vel;er, Malin - 通讯作者:
er, Malin
Effects of shear emulsifying/ball milling/autoclave modification on structure, physicochemical properties, phenolic compounds, and antioxidant capacity of lotus (Nelumbo) leaves dietary fiber.
- DOI:
10.3389/fnut.2023.1064662 - 发表时间:
2023 - 期刊:
- 影响因子:5
- 作者:
Zheng, Hui;Sun, Yan;Zheng, Tao;Zeng, Yiqiong;Fu, Liping;Zhou, Tingting;Jia, Fan;Xu, Yao;He, Kai;Yang, Yong - 通讯作者:
Yang, Yong
18F-fluoro-deoxyglucose positron emission tomography/computed tomography scan findings in Rosai-Dorfman disease with IgG4-positive plasma cell infiltration mimicking breast malignancy: a case report and literature review.
- DOI:
10.1186/1752-1947-6-411 - 发表时间:
2012-11-30 - 期刊:
- 影响因子:1
- 作者:
Fu, Liping;Liu, Mei;Tian, Jiahe - 通讯作者:
Tian, Jiahe
How Natural Resource-Based Industry Affect Sustainable Development? An Evolutionary Study of China
- DOI:
10.3390/su12010291 - 发表时间:
2020-01-01 - 期刊:
- 影响因子:3.9
- 作者:
Fu, Liping;Jiang, Xiaodi;He, Lanping - 通讯作者:
He, Lanping
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns
考虑驾驶意图识别和不同换道模式的主动换道风险预测框架
- DOI:
10.1016/j.aap.2021.106500 - 发表时间:
2021-11-22 - 期刊:
- 影响因子:5.9
- 作者:
Shangguan, Qiangqiang;Fu, Ting;Fu, Liping - 通讯作者:
Fu, Liping
Fu, Liping的其他文献
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{{ truncateString('Fu, Liping', 18)}}的其他基金
Advancing Transportation Safety and Sustainability Using Big Data and Deep Learning
利用大数据和深度学习促进运输安全和可持续发展
- 批准号:
RGPIN-2018-03970 - 财政年份:2022
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Advancing Transportation Safety and Sustainability Using Big Data and Deep Learning
利用大数据和深度学习促进运输安全和可持续发展
- 批准号:
RGPIN-2018-03970 - 财政年份:2021
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Advancing Transportation Safety and Sustainability Using Big Data and Deep Learning
利用大数据和深度学习促进运输安全和可持续发展
- 批准号:
RGPIN-2018-03970 - 财政年份:2020
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Advancing Transportation Safety and Sustainability Using Big Data and Deep Learning
利用大数据和深度学习促进运输安全和可持续发展
- 批准号:
RGPIN-2018-03970 - 财政年份:2019
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Advancing Transportation Safety and Sustainability Using Big Data and Deep Learning
利用大数据和深度学习促进运输安全和可持续发展
- 批准号:
RGPIN-2018-03970 - 财政年份:2018
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Weather-Responsive Traffic Management
智能天气响应交通管理
- 批准号:
204774-2013 - 财政年份:2017
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Sustainable snow and ice control of parking lots, plaftorms, and sidewalks (SICOPS) for improving winter pedestrian safety
停车场、平台和人行道的可持续冰雪控制 (SICOPS),以提高冬季行人安全
- 批准号:
478085-2014 - 财政年份:2017
- 资助金额:
$ 2.19万 - 项目类别:
Collaborative Research and Development Grants
Sustainable snow and ice control of parking lots, plaftorms, and sidewalks (SICOPS) for improving winter pedestrian safety
停车场、平台和人行道的可持续冰雪控制 (SICOPS),以提高冬季行人安全
- 批准号:
478085-2014 - 财政年份:2016
- 资助金额:
$ 2.19万 - 项目类别:
Collaborative Research and Development Grants
Intelligent Weather-Responsive Traffic Management
智能天气响应交通管理
- 批准号:
204774-2013 - 财政年份:2016
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
Intelligent Weather-Responsive Traffic Management
智能天气响应交通管理
- 批准号:
204774-2013 - 财政年份:2015
- 资助金额:
$ 2.19万 - 项目类别:
Discovery Grants Program - Individual
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- 项目类别:青年科学基金项目
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