Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers

Research Article

Understanding Intercity Freeway Traffic Variability at Holidays Using Anonymous Cell Phone Data

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  • @INPROCEEDINGS{10.1007/978-3-319-33681-7_5,
        author={Gang Liu and Chenhao Wang and Tony Qiu},
        title={Understanding Intercity Freeway Traffic Variability at Holidays Using Anonymous Cell Phone Data},
        proceedings={Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers},
        proceedings_a={SMARTCITY360},
        year={2016},
        month={6},
        keywords={Intercity freeway Holiday traffic Anonymous cell phone data},
        doi={10.1007/978-3-319-33681-7_5}
    }
    
  • Gang Liu
    Chenhao Wang
    Tony Qiu
    Year: 2016
    Understanding Intercity Freeway Traffic Variability at Holidays Using Anonymous Cell Phone Data
    SMARTCITY360
    Springer
    DOI: 10.1007/978-3-319-33681-7_5
Gang Liu1,*, Chenhao Wang1,*, Tony Qiu1,*
  • 1: University of Alberta
*Contact email: gliu2@ualberta.ca, chenhao1@ualberta.ca, tony.qiu@ualberta.ca

Abstract

Due to the high market penetration of cell phones, the detailed spatial data offer new opportunities for sophisticated applications in traffic monitoring. Previous studies and projects have mainly focused on obtaining location and traffic estimations of individuals using data derived from cell phone networks. Understanding the variability of traffic patterns and congestion characteristics of intercity freeway systems caused by holiday traffic is beneficial, because appropriate countermeasures for congestion mitigation can be prepared and drivers can change their holiday travel schedules accordingly. This study collected 12 months of cell phone data and radar data along a highway in China. The traffic pattern during the Labor Day holiday in 2014 is investigated using the cell phone sample and speed data. The results have the potential to improve freeway operational performance during holiday periods.