Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic

Time headway is an important microscopic traffic flow parameter, which affects safety, level-of-service, capacity and traffic simulation. It is, therefore, important to know the specific distribution for a particular roadway and traffic condition. Further, headway between two vehicles depends on the...

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Main Authors: Rupali Roy, Pritam Saha
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2020-12-01
Series:Transport
Subjects:
Online Access:https://journals.vgtu.lt/index.php/Transport/article/view/14136
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spelling doaj-fec6c3181212415ca0ff504c2d45ed982021-07-02T17:36:20ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802020-12-0135658860410.3846/transport.2020.1413614136Analysis of vehicle-type-specific headways on two-lane roads with mixed trafficRupali Roy0Pritam Saha1 Dept of Civil Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, IndiaDept of Civil Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, IndiaTime headway is an important microscopic traffic flow parameter, which affects safety, level-of-service, capacity and traffic simulation. It is, therefore, important to know the specific distribution for a particular roadway and traffic condition. Further, headway between two vehicles depends on the type of lead vehicle and is influenced by its size and dynamics. Such impact is considerably high on two-lane roads with mixed traffic composed of a wide variety of vehicle types. This paper identified sixteen combinations of vehicle pairs and analysed vehicle-type-specific headways using field data. Appropriate distribution functions were fitted to field data and predictive models were used in understanding carfollowing behaviour. Observations indicate that quite often bike riders become reluctant in obeying lane discipline. However, car drivers show conservative attitude and usually, keep safe distance from the lead vehicle except the case when they follow another car. In addition, while following Non-Motorized Vehicles (NMV), most of the drivers keep reasonably safe distances. In this paper, a comparison of computed headway probabilities was also made with those obtained from more or less homogeneous traffic. It was found that values obtained in current study are high in most of the instances. This indicates risk-taking behaviour of driver population, which eventually affects safety of such roads. The present study, thus, demonstrates the need of investigating vehicle-type-specific headways under mixed traffic based on comprehensive field data. First published online 7 January 2021https://journals.vgtu.lt/index.php/Transport/article/view/14136two-lane roadmixed trafficvehicle-type-specific headwaydistributiongoodness-of-fit
collection DOAJ
language English
format Article
sources DOAJ
author Rupali Roy
Pritam Saha
spellingShingle Rupali Roy
Pritam Saha
Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
Transport
two-lane road
mixed traffic
vehicle-type-specific headway
distribution
goodness-of-fit
author_facet Rupali Roy
Pritam Saha
author_sort Rupali Roy
title Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
title_short Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
title_full Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
title_fullStr Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
title_full_unstemmed Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
title_sort analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
publisher Vilnius Gediminas Technical University
series Transport
issn 1648-4142
1648-3480
publishDate 2020-12-01
description Time headway is an important microscopic traffic flow parameter, which affects safety, level-of-service, capacity and traffic simulation. It is, therefore, important to know the specific distribution for a particular roadway and traffic condition. Further, headway between two vehicles depends on the type of lead vehicle and is influenced by its size and dynamics. Such impact is considerably high on two-lane roads with mixed traffic composed of a wide variety of vehicle types. This paper identified sixteen combinations of vehicle pairs and analysed vehicle-type-specific headways using field data. Appropriate distribution functions were fitted to field data and predictive models were used in understanding carfollowing behaviour. Observations indicate that quite often bike riders become reluctant in obeying lane discipline. However, car drivers show conservative attitude and usually, keep safe distance from the lead vehicle except the case when they follow another car. In addition, while following Non-Motorized Vehicles (NMV), most of the drivers keep reasonably safe distances. In this paper, a comparison of computed headway probabilities was also made with those obtained from more or less homogeneous traffic. It was found that values obtained in current study are high in most of the instances. This indicates risk-taking behaviour of driver population, which eventually affects safety of such roads. The present study, thus, demonstrates the need of investigating vehicle-type-specific headways under mixed traffic based on comprehensive field data. First published online 7 January 2021
topic two-lane road
mixed traffic
vehicle-type-specific headway
distribution
goodness-of-fit
url https://journals.vgtu.lt/index.php/Transport/article/view/14136
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AT pritamsaha analysisofvehicletypespecificheadwaysontwolaneroadswithmixedtraffic
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