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Development of Congestion Severity Index for Uncontrolled Median Openings Utilising Fundamental Traffic Parameters and Clustering Technique: A Case Study in India

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Abstract

Traffic congestion has harmful implications on road users and leads to rise in both commuting time and the tendency of road rage, increasing the frequency of road crashes. At median openings (MO), due to complex movement of U-turns and approaching traffic, measurement and assessment of congestion is imperative. Identifying the level of congestion at median openings can help in strategizing location specific steps to ease the problem. In this study, the travel time reliability measures like planning time index (PTI) and travel time index (TTI) have been modified with relation to median opening by incorporating steady speed as compared to free flow speed used earlier. Video graphic analysis was conducted and speed data is extracted from 4500 vehicles travelling at different traffic volumes. PTI and TTI have been correlated with 95th, 85th, and 15th percentile speeds and have been used to develop the ranges of congestion severity index. It is observed that the congestion indices alone cannot justify the amount of congestion since their values saturated after a threshold traffic volume of 3000–4000 vph. 15th percentile speed along with the 85th and 95th percentile speeds gives a better picture of congestion since they encompass the slow moving vehicles too. The percentile speeds have been utilized to designate the congestion severity index by using k-mean clustering. Traffic situations where 95th, 85th, and 15th percentile speeds are below 39.6, 35.6, and 22.7 kmph, it can be attributed to severe traffic congestion whereas the same percentile speeds if are observed to be above 52, 46, and 31 kmph, the traffic flow can be represented as free flow/no sign of any congestion. The present study helps in categorizing traffic congestion at median openings in a rational way, thereby undertaking proper steps and actions to alleviate them. However, the results obtained are valid for median openings on 6-lane divided urban roads and the same methodology can be conducted for roads of different lane configuration for better understanding.

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Data Availability

All required data/material have been included in manuscript. Other data/material is necessary would be provided on request.

Abbreviations

MO:

Median Openings

PTI:

Planning Time Index

TTI:

Travel Time Index

CSI:

Congestion Severity Index

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Acknowledgements

The authors would like to express gratitude to School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar.

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No funding has been received for this study.

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Authors and Affiliations

  1. School of Civil Engineering, KIIT Deemed to be University, Bhubaneswar, India

    Malaya Mohanty, Madhu Lisha Pattanaik & Satya Ranjan Samal

  2. School of Water Resources, Indian Institute of Technology, Kharagpur, India

    Bitati Sarkar

  3. Department of Engineering, Stanisław Staszic University of Applied Sciences in Pila, Pila, Poland

    Piotr Gorzelańczyk

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  1. Malaya Mohanty
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  2. Bitati Sarkar
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  3. Madhu Lisha Pattanaik
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  4. Satya Ranjan Samal
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  5. Piotr Gorzelańczyk
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Contributions

MM conceptualized the whole work and also supervised and reviewed the manuscript writing. BS conducted field survey, analysed and interpreted the results, and wrote the results and analysis section of the manuscript. MLP helped in manuscript writing, mainly the preparation of tables and figures. SRS wrote the introduction, literature review, and conclusion of the manuscript. PG reviewed and corrected the whole manuscript.

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Correspondence to Malaya Mohanty.

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Mohanty, M., Sarkar, B., Pattanaik, M.L. et al. Development of Congestion Severity Index for Uncontrolled Median Openings Utilising Fundamental Traffic Parameters and Clustering Technique: A Case Study in India. Int. J. ITS Res. 21, 461–472 (2023). https://doi.org/10.1007/s13177-023-00365-1

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