An urban road-traffic commuting dynamics study based on hotspot clustering and a new proposed urban commuting electrostatics model

4Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

With the recent rapid development of cities, the dynamics of urban road-traffic commuting are becoming more and more complex. In this research, we study urban road-traffic commuting dynamics based on clustering analysis and a new proposed urban commuting electrostatics model. As a case study, we investigate the characteristics of urban road-traffic commuting dynamics during the morning rush hour in Beijing, China, using over 1.3 million Global Positioning System (GPS) data records of vehicle trajectories. The hotspot clusters are identified using clustering analysis, after which the urban commuting electric field is simulated based on an urban commuting electrostatics model. The results show that the areas with high electric field intensity tend to have slow traffic, and also that the vehicles in most areas tend to head in the same direction as the electric field. The results above verify the validity of the model, in that the electric field intensity can reflect the traffic pressure of an area, and that the direction of the electric field can reflect the traffic direction in that area. This new proposed urban commuting electrostatics model helps greatly in understanding urban road-traffic commuting dynamics and has broad applicability for the optimization of urban and traffic system planning.

Cite

CITATION STYLE

APA

Ni, X., Huang, H., Meng, Y., Zhou, S., & Su, B. (2019). An urban road-traffic commuting dynamics study based on hotspot clustering and a new proposed urban commuting electrostatics model. ISPRS International Journal of Geo-Information, 8(4). https://doi.org/10.3390/ijgi8040190

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free