Traffic Flow Pattern Analysis Based on Big Data

GAO Zhong-wen; NIU Zi-yang

doi:10.15938/j.jhust.2018.06.022

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Traffic Flow Pattern Analysis Based on Big Data

更新时间：2026-08-31

- Traffic Flow Pattern Analysis Based on Big Data
- Vol. 23, Issue 6, Pages: 124-127(2018)
- 作者机构：
  
  哈尔滨理工大学自动化学院,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2018.06.022
  CLC： TP273
- Published：2018
- 稿件说明：
移动端阅览
GAO Zhong-wen, NIU Zi-yang. Traffic Flow Pattern Analysis Based on Big Data[J]. 2018, 23(6): 124-127.
DOI：

GAO Zhong-wen, NIU Zi-yang. Traffic Flow Pattern Analysis Based on Big Data[J]. 2018, 23(6): 124-127. DOI： 10.15938/j.jhust.2018.06.022.

摘要

摘要:针对城市道路交通系统汽车流量时空分布严重不均且难以预测，极易引发交通拥堵的问题，基于城市交通监控系统中采集到的海量视频数据，结合模式识别技术与大数据挖掘方法，提出建立城市道路交通中车辆日常出行模式的方法。为进一步优化交通信号配时、调控交通流量、提高交通管理效率和道路资源利用率进而改善交通拥堵状况，提供有效的数据支持。

Abstract

Abstract:In view of the urban road traffic system’s temporal and spatial distribution is severe unevenly

and we cannot predict the situation of the roads

it is easily to lead to traffic jam.In order to solve the problem

we could build the system of vehicle trips in urban road traffic

which combined with pattern recognize technique nique and data mining method

and based on the massive video data collected by the urban traffic monitoring sysem.The system can offer effective data support to optimizing traffic signal timing furtherly

regulating traffic flow

improving traffic management efficiency and road traffic resource utilization

eventually improve traffic congestion.

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Related Author

GUO Min

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GAO Jin-cheng

ZHOU Bin-long

PEI Li-xin

XU Zhen-yu

LI Da-yong

ZENG Tao

Related Institution

Department of Electric Power Engineering, Shanxi University

School of Material Science and Engineering，Harbin University of Science and Technology

School of Civil Engineering and Architecture, Harbin University of Science and Technology

School of Material Science and Engineering, Harbin University of Science and Technology

School of Sciences, Harbin University of Science Technology

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