Investigation on entry capacities of single-lane roundabouts

Liang Ren, Xiao Bo Qu, Shuaian Wang, Hong Guan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Bothheavy goods vehicles (HGV) and exiting vehicles can significantly affect the entry capacity of a roundabout. However, their effects have not been taken into account in HCM 2000 model.Recently two studies have been carried out to address this issue: 1) Dahl and Lee (2012) proposed an expectation theory based approachto incorporate the effect of HGVs[1]; and2)Qu et al. (2013) deriveda new roundabout capacity model by assuming that each exiting vehicle could provide one entry opportunity for waiting vehicles[2]. In this paper, the two models are integrated using a scenario-based approachtoanalyse the effects of not only exiting vehicles but also HGVs. A comparative study indicates that HCM 2000 model performs well under low to mid traffic conditions while it underestimates the capacities under high traffic conditions in combination with high proportions of exiting vehicles.
Original languageEnglish
Title of host publicationAdvances in Transportation
Pages497-500
Number of pages4
DOIs
Publication statusPublished - 20 Feb 2014
Externally publishedYes
Event3rd International Conference on Civil Engineering and Transportation, ICCET 2013 - Kunming, China
Duration: 14 Dec 201315 Dec 2013

Publication series

NameApplied Mechanics and Materials
Volume505-506
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Civil Engineering and Transportation, ICCET 2013
Country/TerritoryChina
CityKunming
Period14/12/1315/12/13

Keywords

  • Entry capacity
  • Gap acceptance theory
  • Heavy goods vehicles
  • Roundabout

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Investigation on entry capacities of single-lane roundabouts'. Together they form a unique fingerprint.

Cite this