Automatic incident detection is an important component of intelligent transportation management systems that provides information for emergency traffic control and management purposes. Social media are rapidly emerging as a novel avenue for the contribution and dissemination of information that has immense value for increasing awareness of traffic incidents. In this paper, we endeavor to assess the potential of the use of harvested tweets for traffic incident awareness. A hybrid mechanism based on Latent Dirichlet Allocation (LDA) and document clustering is proposed to model incident-level semantic information, while spatial point pattern analysis is applied to explore the spatial patterns. A global Monte Carlo K-test indicates that the incident-topic tweets are significantly clustered at different scales up to 600m. Then a density-based algorithm successfully detects the clusters of tweets posted spatially close to traffic incidents. The experiments support the notion that social media feeds act as sensors, which allow enhancing awareness of traffic incidents and their potential disturbances.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using Twitter to Enhance Traffic Incident Awareness


    Contributors:
    Zhang, Shen (author)


    Publication date :

    2015-09-01


    Size :

    323729 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Incident Detection Through Twitter

    Yazici, M. Anil / Mudigonda, Sandeep / Kamga, Camille | Transportation Research Record | 2017


    Using Web data to enhance traffic situation awareness

    Xiao Wang / Ke Zeng / Xue-Liang Zhao et al. | IEEE | 2014



    Traffic Incident Management, a Common Operational Picture to Support Situational Awareness of Sustainable Mobility

    Steenbruggen, J. / Nijkamp, P. / Smits, J.M. et al. | British Library Online Contents | 2012


    Situational Awareness In Emergency Services Incident Command

    Schenk, T. L. / Center for Applied Human Factors in Aviation | British Library Conference Proceedings | 1994