Abstract
This chapter focuses on the performance evaluation of Indian urban roads from the perspective of travel time reliability. Travel time data on two important road corridors of Surat city were collected using a license plate matching technique for this purpose, and the performance of these corridors was assessed using and various travel time reliability metrics. Statistical models were developed to identify the functional relationship between space mean speed (SMS) and planning time index (PTI). As Indian traffic comprises of multiple vehicle classes, an attempt was made to analyze the effect of vehicle composition on the average travel time using artificial neural network (ANN)-based approach. It was observed that travelers must consider the higher cushion time while planning a trip on both of these corridors. The developed regression models demonstrated the strong functional relationship between SMS and PTI on both of the sections. Developed ANN models revealed that the percentage of car and auto-rickshaws present in the traffic stream significantly affects the average travel time along with the total volume of traffic.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Amrutsamanvar R (2013) Evaluating travel time reliability of Indian urban roads. Master’s thesis, Sardar Vallabhbhai National Institute of Technology, India
Bharati AK, Chandra S, Chalumuri RS (2013) Performance evaluation of urban arterial in Delhi using travel time reliability. In: Proceedings of the Eastern Asia Society for transportation studies, vol 9
Bullock D, Martchouk M, Mannering F (2011) Analysis of freeway travel time variability using bluetooth detection. J Transp Eng 137:697–704
Cambridge Systematics, Inc., Dowling Associates, Inc. (2008) Cost-effective performance measures for travel time delay, variation, and reliability
Chepuri A, Arkatkar SS, Wagh A, Joshi G (2017) Study of travel time variability using two-wheeler probe data an Indian experience. In: Proceedings of the institution of civil engineers transport, pp 1–17
Chepuri A, Ramakrishnan J, Arkatkar S, Joshi G, Pulugurtha S (2018) Examining travel time reliability-based performance indicators for bus routes using GPS-based bus trajectory data in India. J Transp Eng Part A Syst 144(5)
Freedman D, Diaconis P (1981) On the histogram as a density estimator: L2 theory. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 57(4):453–476
Gangopadhyay S, Sekhar CR, Durai BK (2010) Travel time reliability measurement for an urban corridor-a case study. Indian Highways. ISSN: 0376-7256
Garson GD (1991) Interpreting neural-network connection weights. AI Expert 6(4):46–51
Higatani A, Kitazawa T, Tanabe J, Suga Y, Sekhar R, Asakura Y (2009) Empirical analysis of travel time reliability measures in Hanshin expressway network. J Intell Transp Syst Technol Plann Oper 13(1):28–38
Kustrin S, Beresford R (2000) Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. J Pharm Biomed Anal 22(5):717–727
Lomax T, Schrank D, Turner S, Margiotta R (2003) Selecting travel reliability measures. Texas Transportation Institute monograph
MATLAB (2017) Version 9.2.0556344 (R2017a). The MathWorks Inc., Natick, Massachusetts
MoUD (2016) Handbook of urban statistics. Government of India
Rakha H, El-Shawarby I, Arafeh M (2010) Trip travel-time reliability: issues and proposed solutions. J Intell Transp Syst Technol Plann Oper 14(4):232–250
Remias SM, Hainen AM, Mathew JK, Vanajakshi L, Sharma A, Bullock DM (2017) Travel time observations using bluetooth MAC address matching: a case study on the Rajiv Gandhi roadway: Chennai, India. Purdue University, West Lafayette, Indiana. https://doi.org/10.5703/1288284316505
Van Lint J, Van Zuylen H (2005) Monitoring and predicting freeway travel time reliability: using width and skew of day-to-day travel time distribution. Transp Res Rec J Transp Res Board 1917:54–62
Acknowledgements
The first author of this paper would like to thank Mr. Atif Shaikh and Mr. Yash Hivarkar for their valuable support in field surveys conducted for this study, without which this work was not possible. Authors would like to extend their gratitude toward the anonymous reviewers and their valuable comments which certainly improved the manuscript.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Amrutsamanvar, R., Joshi, G., Arkatkar, S.S., Chalumuri, R.S. (2020). Empirical Travel Time Reliability Assessment of Indian Urban Roads. In: Arkatkar, S., Velmurugan, S., Verma, A. (eds) Recent Advances in Traffic Engineering. Lecture Notes in Civil Engineering, vol 69. Springer, Singapore. https://doi.org/10.1007/978-981-15-3742-4_11
Download citation
DOI: https://doi.org/10.1007/978-981-15-3742-4_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3741-7
Online ISBN: 978-981-15-3742-4
eBook Packages: EngineeringEngineering (R0)