Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning

Qin, Jiayu; Mei, Gang; Xiao, Lei

doi:10.3390/su13010266

Open AccessArticle

Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning

by

Jiayu Qin

,

Gang Mei

^*

and

Lei Xiao

School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100191, China

^*

Author to whom correspondence should be addressed.

Sustainability 2021, 13(1), 266; https://doi.org/10.3390/su13010266

Submission received: 8 December 2020 / Revised: 22 December 2020 / Accepted: 23 December 2020 / Published: 30 December 2020

(This article belongs to the Special Issue Big Data in a Sustainable Smart City)

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Abstract

Traffic congestion is becoming a critical problem in urban traffic planning. Intelligent transportation systems can help expand the capacity of urban roads to alleviate traffic congestion. As a key concept in intelligent transportation systems, urban traffic networks, especially dynamic traffic networks, can serve as potential solutions for traffic congestion, based on the complex network theory. In this paper, we build a traffic flow network model to investigate traffic congestion problems through taxi GPS trajectories. Moreover, to verify the effectiveness of the traffic flow network, an actual case of identifying the congestion areas is considered. The results indicate that the traffic flow network is reliable. Finally, several key problems related to traffic flow networks are discussed. The proposed traffic flow network can provide a methodological reference for traffic planning, especially to solve traffic congestion problems.

Keywords: intelligent transportation systems (ITS); traffic network; taxi GPS trajectories; congestion areas; traffic planning

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MDPI and ACS Style

Qin, J.; Mei, G.; Xiao, L. Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning. Sustainability 2021, 13, 266. https://doi.org/10.3390/su13010266

AMA Style

Qin J, Mei G, Xiao L. Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning. Sustainability. 2021; 13(1):266. https://doi.org/10.3390/su13010266

Chicago/Turabian Style

Qin, Jiayu, Gang Mei, and Lei Xiao. 2021. "Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning" Sustainability 13, no. 1: 266. https://doi.org/10.3390/su13010266

APA Style

Qin, J., Mei, G., & Xiao, L. (2021). Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning. Sustainability, 13(1), 266. https://doi.org/10.3390/su13010266

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Building the Traffic Flow Network with Taxi GPS Trajectories and Its Application to Identify Urban Congestion Areas for Traffic Planning

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