Urban Traffic Operation Pattern and Spatiotemporal Mode Based on Big Data (Taking Beijing Urban Area as an Example)

Abstract

An analysis of urban traffic operation pattern and spatiotemporal mode is an important basis to solve the problems of traffic congestion, emergency and extreme weather. Traditional studies on the urban traffic operation pattern and spatiotemporal mode usually are restricted by issues as poor time effectiveness, large space scale and coarse time granularity of traffic flow data, thus this essay choose to use the urban traffic speed data based on floating vehicle trajectory to dissect the urban traffic operation pattern and spatiotemporal mode in Beijing in a multi-dimensional and fine granularity. Differences of features in weekdays and weekends are also compared. This paper reports that “two-peak” mode is obvious in the urban traffic condition. Besides, the morning peak of weekends is postponed to 11-12 am, and the night peak appears shorter in 5 pm compared to weekdays. Finally, four modes of traffic and its driving mechanism are concluded.

Original document

The different versions of the original document can be found in:

• https://doi.org/10.1007/978-3-662-49155-3_4 under the license cc-by-nc

• http://link.springer.com/content/pdf/10.1007/978-3-662-49155-3_4,

http://dx.doi.org/10.1007/978-3-662-49155-3_4 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-662-49155-3_4,

https://dblp.uni-trier.de/db/conf/grmse/grmse2015.html#SunDTZ15,

https://rd.springer.com/chapter/10.1007/978-3-662-49155-3_4,

https://link.springer.com/chapter/10.1007/978-3-662-49155-3_4/fulltext.html,

https://academic.microsoft.com/#/detail/2347162020