01663615

Component

Crowdsourcing is a relatively new area of research, generating an enormous amount of interest among both researchers and practitioners, and it is finding applications in multiple domains. It is particularly useful for efficient traffic management and increasing public participation. State Department of Transportations (DOTs) are already using crowdsourced technologies and others are exploring its applications for traffic management. Researchers are using sensor-rich mobile phones and online social networks to collect data from network users. However, despite recent advancements in this area, there remain significant challenges in practice requiring more research. This study examines the implementation of crowdsourced traffic management by state DOTs in the United States and the challenges specific to them. The study employs semi-structured interviews to collect information from practice. Insights from the interviews indicate that filtering high volumes of information and the integration of multiple sources of data are two of the primary concerns for crowdsourced traffic management in practice. However, the Waze Connected Citizens Program and the Strava Metro Data Program are success stories in practice.

This paper was sponsored by TRB committee ADA60 Standing Committee on Public Involvement in Transportation.

18-02979

English

0000-0002-3651-8157

6p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References

Crowdsourcing; Highway traffic control; Incident management; State departments of transportation; Traffic data

Data and Information Technology; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-02979

TRIS, TRB, ATRI

Jan 8 2018 10:42AM