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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Vilnius Gediminas Technical University
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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 |
work_keys_str_mv |
AT rupaliroy analysisofvehicletypespecificheadwaysontwolaneroadswithmixedtraffic AT pritamsaha analysisofvehicletypespecificheadwaysontwolaneroadswithmixedtraffic |
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1721325309178937344 |