HEADWAY MODELLING UNDER MIXED TRAFFIC ON URBAN ROADS

Headway data collected at different sections of urban roads in New Delhi have been analysed in this study using three distributions: exponential, log normal and hyperlang. The hyperlang distribution was found to be the best descriptor of headway under mixed traffic conditions. The model parameters of this distribution are correlated with traffic volume on a section. The generalised model proposed in this study is applicable to traffic volume of 900-1600 vehicles per hour. (a)

• Record URL:
  http://arrbknowledge.com
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/26087078
• Corporate Authors:

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  ,   United States 
• Authors:
  • Chandra, S
  • Kumar, R
• Publication Date: 2001-3

Language

• English

Media Info

• Features: References;
• Pagination: p. 61-71
• Serial:
  • Road and Transport Research
  • Volume: 10
  • Issue Number: 1
  • Publisher: ARRB
  • ISSN: 1037-5783

Subject/Index Terms

• TRT Terms: Developing countries; Headways; Highways; Mathematical models; Traffic flow; Urban areas; Vehicle mix
• Geographic Terms: India
• ITRD Terms: 150: Developing countries; 685: Headway; 2755: Highway; 8045: India; 6473: Mathematical model; 641: Traffic composition; 671: Traffic flow; 313: Urban area
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00937132
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: Feb 5 2003 12:00AM