Extracting Traffic Events and Human Mobility Patterns in Geosocial Media Data for Assessing Real-time Road Traffic

在地理社交媒体数据中提取交通事件和人员流动模式以评估实时道路交通

基本信息

  • 批准号:
    RGPIN-2017-05950
  • 负责人:
  • 金额:
    $ 2.99万
  • 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:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Large urban centers and emerging city regions, as well as others in the world, face a series of complex challenges such as traffic congestion as they continue to grow at a rapid pace. Many largest cities around the world, including Canadian cities such as Vancouver and Toronto, are known among top worst for traffic congestion. With increasing traffic congestion causing delays and health problems for motorists and producing extra air pollution, reliable traffic information is key for travelers all over the world. This proposed research will develop new traffic event detection methods for providing such real-time information using massive social media data, and also will build extra tools for integrating human mobility patterns into short-term traffic congestion prediction that will help predict traveler's road traffic conditions in next 15-60 minutes ahead. The results (models, methods and tools) of this research can be of great use by a new generation of urban planners, city traffic managers and researchers. The short-term objectives of the proposed research will focus on three key research components that will: 1) model human activity patterns at various spatial and temporal scales to study their interactions with recurrent and non-recurrent traffic situations; 2) examine and evaluate different traffic and traffic-related event detection methods to develop a space-time-semantics based detection approach; and 3) assess and explore how social media data together with related models, tools and workflows can support the provision of real-time road traffic information by developing an collaborative service-oriented open platform. The platform will give researchers, traffic managers and decision makers direct and timely access to real-time traffic data, primarily extracted from various social networks, traffic information services, and suitable computational and analytical models and tools for traffic-related studies.The long-term goal of my Research Program is to develop a real-time road information infrastructure that visualize, publish and push near real time traffic information to target users and provide optimal routing services, but also capable of predicting real-time traffic congestion taking into non-recurrent traffic situations and long-term traffic considering recurrent patterns. Such an infrastructure can be implemented as a web-based system that integrates cloud computing, web services and GIS for traffic management decision making and transportation planning. The proposed experimental open platform, with implementation of the models, methods and tools as services, will build strong capacity for sharing road traffic information and services and will open up new opportunities for research sharing, HQP training and collaborations with Canadian government agencies and industry.
大城市中心和新兴城市地区以及世界上其他地区在继续快速发展的同时面临着一系列复杂的挑战,例如交通拥堵。世界上许多大城市,包括加拿大的温哥华和多伦多等城市,都是交通拥堵最严重的城市之一。随着日益严重的交通拥堵造成延误和驾驶员的健康问题,并产生额外的空气污染,可靠的交通信息是世界各地旅行者的关键。这项拟议的研究将开发新的交通事件检测方法,使用大量的社交媒体数据提供实时信息,并将建立额外的工具,将人类移动模式整合到短期交通拥堵预测中,这将有助于预测未来15-60分钟内旅行者的道路交通状况。本研究的结果(模型,方法和工具)可以很好地利用新一代的城市规划师,城市交通管理者和研究人员。 建议研究的短期目标将集中于三个主要研究部分,包括:1)在不同时空尺度上模拟人类活动模式,以研究其与经常性和非经常性交通情况的相互作用; 2)研究和评估不同的交通和交通相关事件检测方法,以发展基于时空语义的检测方法;及3)评估及探讨社交媒体数据连同相关模型、工具及工作流程,如何透过发展一个协作式服务导向的开放平台,支援提供实时道路交通资讯。该平台将为研究人员、交通管理人员和决策者提供直接和及时的实时交通数据,这些数据主要来自各种社交网络、交通信息服务以及适用于交通相关研究的计算和分析模型和工具。我的研究计划的长期目标是开发一个实时道路信息基础设施,向目标用户发布和推送接近真实的时间的交通信息,并提供最优路由服务,而且能够预测考虑到非重现交通情况的实时交通拥塞和考虑到重现模式的长期交通。这样的基础设施可以实现为基于网络的系统,该系统集成了云计算、网络服务和GIS,用于交通管理决策和交通规划。拟议的实验性开放平台,将模型、方法和工具作为服务来实施,将建立强大的共享道路交通信息和服务的能力,并将为研究共享、HQP培训以及与加拿大政府机构和行业的合作开辟新的机会。

项目成果

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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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Li, Songnian其他文献

Similarity Index Based Approach for Identifying Similar Grotto Statues to Support Virtual Restoration
  • DOI:
    10.3390/rs13061201
  • 发表时间:
    2021-03-01
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Hua, Wei;Hou, Miaole;Li, Songnian
  • 通讯作者:
    Li, Songnian
Mesoscale dynamic simulation on phase separation between plasticizer and binder in NEPE propellants
  • DOI:
    10.1016/j.polymer.2008.04.020
  • 发表时间:
    2008-05-27
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Li, Songnian;Liu, Yong;Wang, Xiaogong
  • 通讯作者:
    Wang, Xiaogong
Predicting human mobility with activity changes
Understanding human activity patterns based on space-time-semantics
Towards a collaborative global land cover information service
迈向协作的全球土地覆盖信息服务
  • DOI:
    10.1080/17538947.2016.1267268
  • 发表时间:
    2017-01-01
  • 期刊:
  • 影响因子:
    5.1
  • 作者:
    Chen, Jun;Li, Songnian;Chen, Xianjun
  • 通讯作者:
    Chen, Xianjun

Li, Songnian的其他文献

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{{ truncateString('Li, Songnian', 18)}}的其他基金

Extracting Traffic Events and Human Mobility Patterns in Geosocial Media Data for Assessing Real-time Road Traffic
在地理社交媒体数据中提取交通事件和人员流动模式以评估实时道路交通
  • 批准号:
    RGPIN-2017-05950
  • 财政年份:
    2021
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
Extracting Traffic Events and Human Mobility Patterns in Geosocial Media Data for Assessing Real-time Road Traffic
在地理社交媒体数据中提取交通事件和人员流动模式以评估实时道路交通
  • 批准号:
    RGPIN-2017-05950
  • 财政年份:
    2020
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
Machine-learning based big textual data analysis for job candidate resources extraction and matching
基于机器学习的大文本数据分析,用于职位候选人资源提取和匹配
  • 批准号:
    538907-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Engage Grants Program
Extracting Traffic Events and Human Mobility Patterns in Geosocial Media Data for Assessing Real-time Road Traffic
在地理社交媒体数据中提取交通事件和人员流动模式以评估实时道路交通
  • 批准号:
    RGPIN-2017-05950
  • 财政年份:
    2019
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
Extracting Traffic Events and Human Mobility Patterns in Geosocial Media Data for Assessing Real-time Road Traffic
在地理社交媒体数据中提取交通事件和人员流动模式以评估实时道路交通
  • 批准号:
    RGPIN-2017-05950
  • 财政年份:
    2018
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
Extracting Traffic Events and Human Mobility Patterns in Geosocial Media Data for Assessing Real-time Road Traffic
在地理社交媒体数据中提取交通事件和人员流动模式以评估实时道路交通
  • 批准号:
    RGPIN-2017-05950
  • 财政年份:
    2017
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
S&R GIS: an event driven geospatial infrastructure for real-time decision support
S
  • 批准号:
    250346-2011
  • 财政年份:
    2014
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
S&R GIS: an event driven geospatial infrastructure for real-time decision support
S
  • 批准号:
    250346-2011
  • 财政年份:
    2013
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
S&R GIS: an event driven geospatial infrastructure for real-time decision support
S
  • 批准号:
    250346-2011
  • 财政年份:
    2012
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual
S&R GIS: an event driven geospatial infrastructure for real-time decision support
S
  • 批准号:
    250346-2011
  • 财政年份:
    2011
  • 资助金额:
    $ 2.99万
  • 项目类别:
    Discovery Grants Program - Individual

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