Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway

To make more efficient use of the expanded freeway and urban expressway networks, various measures such as bottleneck management and wide-area congestion pricing based on traffic data obtained from traffic detectors, including traffic volume and travel time, have been considered. Generally, the cong...

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Main Authors: Motohiro Fujita, Atsuki Aratani, Shinji Yamada
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/6866060
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author Motohiro Fujita
Atsuki Aratani
Shinji Yamada
author_facet Motohiro Fujita
Atsuki Aratani
Shinji Yamada
author_sort Motohiro Fujita
collection DOAJ
description To make more efficient use of the expanded freeway and urban expressway networks, various measures such as bottleneck management and wide-area congestion pricing based on traffic data obtained from traffic detectors, including traffic volume and travel time, have been considered. Generally, the congestion status of the data varies from day to day. This study proposes a method for analyzing a graph of traffic volume and travel time to visually and intuitively grasp the change in the daily traffic situation using continuous one-hour values. These values are continuously generated hourly values obtained by shifting data every minute. Twenty-four hours 1 minute data for 128 days on 32 segments with detectors in the Nagoya Expressway Network in Japan were used to draw a continuous one-hour value graph. A number of graphs showed loops of continuous one-hour values with congestion and a smooth variation characteristic of values over time. These graphs provide an accurate estimate of the daily maximum one-hour traffic volumes and facilitate a sequential understanding of the congestion pattern changes on successive route segments. Hourly travel-time prediction models were constructed to macroscopically examine congestion measures over a range of several hours. These models were fabricated with high accuracy using multiple regression analysis based on the characteristics of continuous one-hour values. Exploratory predictive analysis of hourly travel-time models has allowed us to study and discuss various congestion factors in road structures and traffic flows, and it has been found to be easy to grasp the phenomenon and ensure accuracy and operability.
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spelling doaj-art-6d6b106923c1405fb953c22e1621fa242025-08-20T02:06:12ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/6866060Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban ExpresswayMotohiro Fujita0Atsuki Aratani1Shinji Yamada2Department of Civil EngineeringDepartment of Civil EngineeringNagoya Expressway Public CorporationTo make more efficient use of the expanded freeway and urban expressway networks, various measures such as bottleneck management and wide-area congestion pricing based on traffic data obtained from traffic detectors, including traffic volume and travel time, have been considered. Generally, the congestion status of the data varies from day to day. This study proposes a method for analyzing a graph of traffic volume and travel time to visually and intuitively grasp the change in the daily traffic situation using continuous one-hour values. These values are continuously generated hourly values obtained by shifting data every minute. Twenty-four hours 1 minute data for 128 days on 32 segments with detectors in the Nagoya Expressway Network in Japan were used to draw a continuous one-hour value graph. A number of graphs showed loops of continuous one-hour values with congestion and a smooth variation characteristic of values over time. These graphs provide an accurate estimate of the daily maximum one-hour traffic volumes and facilitate a sequential understanding of the congestion pattern changes on successive route segments. Hourly travel-time prediction models were constructed to macroscopically examine congestion measures over a range of several hours. These models were fabricated with high accuracy using multiple regression analysis based on the characteristics of continuous one-hour values. Exploratory predictive analysis of hourly travel-time models has allowed us to study and discuss various congestion factors in road structures and traffic flows, and it has been found to be easy to grasp the phenomenon and ensure accuracy and operability.http://dx.doi.org/10.1155/2023/6866060
spellingShingle Motohiro Fujita
Atsuki Aratani
Shinji Yamada
Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway
Journal of Advanced Transportation
title Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway
title_full Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway
title_fullStr Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway
title_full_unstemmed Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway
title_short Analysis of Traffic Volume and Travel-Time Relationship Using Continuous One-Hour Values on Urban Expressway
title_sort analysis of traffic volume and travel time relationship using continuous one hour values on urban expressway
url http://dx.doi.org/10.1155/2023/6866060
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AT atsukiaratani analysisoftrafficvolumeandtraveltimerelationshipusingcontinuousonehourvaluesonurbanexpressway
AT shinjiyamada analysisoftrafficvolumeandtraveltimerelationshipusingcontinuousonehourvaluesonurbanexpressway