Time Headway Analysis for Four-Lane and Two-Lane Roads

Original Article

Abstract

Study of vehicle time headways has been a subject to many aspects of traffic flow studies because time headway between any two successive vehicles is considered as an important parameter affecting capacity, safety, delay, driver behavior and level of service of a transportation system. Although a large number of studies exist in the field of time headway modelling, there is still a paucity of research related to time headway distribution study in two-lane bidirectional roads and four-lane divided roads with respect to varying flow rate levels. The present paper intends to study the variations in time headway distributions for four flow levels (0–600, 600–1200, 1200–1800 and 1800–2400 PCU/h) for different two-lane and four-lane roads in Assam, with traffic data collected from video-recorders. It is further aimed to investigate the differences in headway maintaining behavior of vehicles in morning hours and in evening hours (in presence of headlights) when the flow rates for the analyzed periods are comparable. Also vehicle-type specific headway analysis is conducted for two-lane bidirectional roads. The result of this paper not only identifies the difference in time headway distributions of mixed vehicular flow for different flow levels but also captures the differences in vehicle-type specific headways and headway maintaining behavior of vehicles when the headlights of vehicles are turned on. Results of the study can be used as an input in practical applications, especially for developing micro-simulation models and also can be used in capacity estimation, safety analysis, etc.

Keywords

Time headway Heterogeneous traffic Vehicle-pair Visibility Headway distribution 

Notes

Acknowledgements

The authors acknowledge the opportunity to present the research work that forms the basis of this article at the 14th World Conference on Transport Research held at Shanghai, China from 10 to 15 July 2016. The data collection under this research work was funded by CSIR-Central Road Research Institute (CRRI), New Delhi under the Supra Institutional Network Project (SINP) category as part of the 12th Five Year Plan Period (FYP).

References

  1. 1.
    Ye F, Zhang Y (2009) Vehicle type-specific headway analysis using freeway data. Transp Res Record 2124:222–230CrossRefGoogle Scholar
  2. 2.
    Yin S, Li Z, Zhang Y, Yao D, Su Y, Li L (2009) Headway distribution modeling with regard to traffic status. IEEE Int Veh Sym 1057–1062. doi: 10.1109/IVS.2009.5164427
  3. 3.
    Kutz M (2011) Handbook of transportation engineering. McGraw-Hill, New YorkGoogle Scholar
  4. 4.
    Dubey SK, Ponnu B, Arkatkar SS (2012) Time gap modelling under mixed traffic condition: a statistical analysis. J Transp Syst Eng Info Tech 12:72–84Google Scholar
  5. 5.
    M S, Verma A (2016) Review of studies on mixed traffic flow: perspective of developing economies. Transp Dev Econ 2(5). doi: 10.1007/s40890-016-0010-0
  6. 6.
    May AD (1990) Traffic flow fundamentals. Prentice Hall Inc, Englewood Cliffs, New JerseyGoogle Scholar
  7. 7.
    Arasan VT, Koshy RZ (2003) Headway distribution of heterogeneous traffic on urban arterials. J Inst of Eng 84:210–215Google Scholar
  8. 8.
    Al-Ghamdi S (2001) Analysis of time headways on urban roads: case study from Riyadh. J Transp Eng-ASCE 127:289–294CrossRefGoogle Scholar
  9. 9.
    Katti BK, Pathak RH (1985) A study on headway distribution model for the urban road sections under mixed traffic conditions. Highw Res Bull Indian Roads Congr 26:1–31Google Scholar
  10. 10.
    Kumar VM, Rao SK (1998) Headway and speed studies on two lane highways. Indian Highw 26:23–36.Google Scholar
  11. 11.
    Hossain DM, Iqbal GA (1999) Vehicular headway distribution and free speed characteristics on two-lane two-way highways of Bangladesh. J Inst of Eng 80:77–80Google Scholar
  12. 12.
    Tolle JE (1971) The lognormal headway distribution model. Traffic Eng Control 8:22–24.Google Scholar
  13. 13.
    Mei M, Bullen AGR (1993) Lognormal distribution for high traffic flows. Transp Res Record 1398:125–128.Google Scholar
  14. 14.
    Dey PP, Chandra S (2009) Desired time gap and time headway in steady-state car-following on two-lane roads. J Transp Eng-ASCE 135:687–693CrossRefGoogle Scholar
  15. 15.
    Riccardo R, Massimiliano G (2012) An empirical analysis of vehicle time headways on rural two-lane two-way roads. Proced Soc Behav Sci 54:865–874CrossRefGoogle Scholar
  16. 16.
    Jang J (2012) Analysis of time headway distribution on suburban arterial. KSCE J Civil Eng 16(4):644–649.CrossRefGoogle Scholar
  17. 17.
    Dubey SK, Ponnu B, Arkatkar SS (2013) Time gap modeling using mixture distributions under mixed traffic conditions. J Transp Syst Eng Info Tech 13:91–98Google Scholar
  18. 18.
    Hoogendoorn SP, Bovy PHL (2000) A closer examination of overtaking prohibitions for trucks. In: Proceedings of 9th IFAC Symp on Control in Transp Syst, vol 1, pp 256–263Google Scholar
  19. 19.
    Hoogendoorn SP, Bovy PHL (1998) New estimation technique for vehicle-type-specific headway distributions. Transp Res Record 1646:18–28CrossRefGoogle Scholar
  20. 20.
    Kanagaraj V, Asaithambi G, Srinivasan K, Sivanandan R (2011) Vehicle classwise analysis of time gaps and headways under heterogeneous traffic. In: Transp Res Board 90th annual meeting 4249Google Scholar
  21. 21.
    IRC 64 (1990) Guidelines for capacity of Roads in Rural Areas. Indian Road Congress, New DelhiGoogle Scholar
  22. 22.
    Greenberg I (1966) The log-normal distribution of headways. Austral Road Res 2(7):14–18Google Scholar
  23. 23.
    Jin X, Zhang Y, Wang F, Li L, Yao, D, Su Y, Wei Z (2009) Departure headways at signalized intersections: a log-normal distribution model approach. Transp Res Part C Emerg Technol 17(3):318–327CrossRefGoogle Scholar
  24. 24.
    Sun D, Benekohal RF (2005) Analysis of work zone gaps and rear-end collision probability. J Transp Stat 8(2):71–86Google Scholar
  25. 25.
    Alhassan HM, Ben-Edigbe J (2012) Effect of rain on probability distributions fitted to vehicle time headways. Int J Adv Sci Eng Info Tech 2(2):144–150Google Scholar
  26. 26.
    Schadschneider A, Chowdhury D, Nishinari K (2010) Stochastic transport in complex systems: from molecules to vehicles. Elsevier, New YorkGoogle Scholar
  27. 27.
    Schittkowski K (2002) EASY-FIT: a software system for data fitting in dynamical systems. Struct Multidiscip Optim 23(2):153–169CrossRefGoogle Scholar
  28. 28.
  29. 29.
    Sadeghhosseini S (2002) Time headway and platooning characteristics of vehicles on interstate highways. PhD Dissertation. University of Illinois, USAGoogle Scholar
  30. 30.
    Moridpour S (2014) Evaluating the time headway distributions in congested highways. J Traffic Logist Eng 2:224–229CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Department of Civil EngineeringIndian Institute of Technology GuwahatiAssamIndia

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