Development and Testing of An Application System for Intersection Data Collection and Analysis

Development and Testing of An Application System for Intersection Data Collection and Analysis

Bibliographic Details
Main Author: Zhang, Songling
Language:English
Published: University of Akron / OhioLINK 2017
Subjects:
Engineering
Transportation
Turning Movement
Turning Proportion
Autoscope
NTCIP
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=akron1513262599088906
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-akron15132625990889062021-08-03T07:05:08Z Development and Testing of An Application System for Intersection Data Collection and Analysis Zhang, Songling Engineering Transportation Turning Movement Turning Proportion Autoscope NTCIP Nowadays vehicle turning movement data can be applied in many fields such as adaptive traffic control, dynamic planning and traffic demand analysis. Accurate real-time turning movement data can help traffic control systems generate better signal timing plans and make better operation decisions. However, such data is not easy to collect. In the past several decades, many methods have been developed to collect turning movement data such as manual data collection, modeling methods based on data resources including link volume, partial turning movement data and historical data, methods based on the genetic algorithm, Time and Place System (TAPS) method, vision-based methods and trajectory tracking methods. Each method has its own strengths and limitations, but most of the methods cannot provide real-time data with high accuracy. This study developed and calibrated an automatic vehicle turning movement data collection system which makes use of traffic signal information and detection information. The system has a hardware structure centered around a microcontroller and Raspberry Pi. The National Transportation Communications for ITS Protocol (NTCIP) was applied for signal interpretation and multiple data resources were used for the turning movement identification algorithm. The system was applied in field tests during different times of day at different intersections in the real world. Test results show that this system has high accuracy and strong robustness, and can consistently collect real-time turning movement data without being affected by location, time or weather conditions. The collected turning movement data can potentially be used for traffic planning, operation and forecasting. 2017 English text University of Akron / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=akron1513262599088906 http://rave.ohiolink.edu/etdc/view?acc_num=akron1513262599088906 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Engineering
Transportation
Turning Movement
Turning Proportion
Autoscope
NTCIP
spellingShingle Engineering
Transportation
Turning Movement
Turning Proportion
Autoscope
NTCIP

Zhang, Songling
Development and Testing of An Application System for Intersection Data Collection and Analysis
author Zhang, Songling
author_facet Zhang, Songling
author_sort Zhang, Songling
title Development and Testing of An Application System for Intersection Data Collection and Analysis
title_short Development and Testing of An Application System for Intersection Data Collection and Analysis
title_full Development and Testing of An Application System for Intersection Data Collection and Analysis
title_fullStr Development and Testing of An Application System for Intersection Data Collection and Analysis
title_full_unstemmed Development and Testing of An Application System for Intersection Data Collection and Analysis
title_sort development and testing of an application system for intersection data collection and analysis
publisher University of Akron / OhioLINK
publishDate 2017
url http://rave.ohiolink.edu/etdc/view?acc_num=akron1513262599088906
work_keys_str_mv AT zhangsongling developmentandtestingofanapplicationsystemforintersectiondatacollectionandanalysis
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