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    Traffic Congestion Assessment Tool for Urban Roads Based on Traffic and Geometric Characteristics: A Case of Hyderabad, India

    Source: Journal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 011::page 04023106-1
    Author:
    Naveed Farooz Marazi
    ,
    Bandhan Bandhu Majumdar
    ,
    Prasanta K. Sahu
    ,
    Subhashree Panda
    ,
    Siddardha Koramati
    DOI: 10.1061/JTEPBS.TEENG-7908
    Publisher: ASCE
    Abstract: This study developed a travel time congestion index (TTCI) keyed to the differences in actual versus desired travel times for various types of roadways, and found that the TTCI is influenced by traffic and geometric characteristics of the roadway other than volume and capacity. The TTCI provides a continuous scale for assessing the level of congestion in the network. In general, the measurement of the level of service (LOS) across the roadway sections is adopted to measure the level of congestion. However, measuring LOS alone does not provide better insight into the reasons for congestion other than the volume-to-capacity ratio. Therefore, we developed the TTCI by employing traffic and geometric parameters to measure the congestion along the roadways on the urban road network. In addition to the development of the TTCI, level of service is measured and compared with the TTCI values for the selected road sections. The results indicate that employing all the variables together in a single technique yields much better and more-reliable values for congestion indexes. The results indicate that providing grade-separated intersections reduces traffic congestion to a great extent. The results also were found to be in line with the field conditions. This study also proposes using TTCI values to design the cordon lines for delaminating the congestion zones and estimating the level of service of the roadway. The findings of this study can be used by policymakers and transportation planners to design effective countermeasures for decongesting urban roadways.
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      Traffic Congestion Assessment Tool for Urban Roads Based on Traffic and Geometric Characteristics: A Case of Hyderabad, India

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293177
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorNaveed Farooz Marazi
    contributor authorBandhan Bandhu Majumdar
    contributor authorPrasanta K. Sahu
    contributor authorSubhashree Panda
    contributor authorSiddardha Koramati
    date accessioned2023-11-27T22:57:55Z
    date available2023-11-27T22:57:55Z
    date issued8/30/2023 12:00:00 AM
    date issued2023-08-30
    identifier otherJTEPBS.TEENG-7908.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293177
    description abstractThis study developed a travel time congestion index (TTCI) keyed to the differences in actual versus desired travel times for various types of roadways, and found that the TTCI is influenced by traffic and geometric characteristics of the roadway other than volume and capacity. The TTCI provides a continuous scale for assessing the level of congestion in the network. In general, the measurement of the level of service (LOS) across the roadway sections is adopted to measure the level of congestion. However, measuring LOS alone does not provide better insight into the reasons for congestion other than the volume-to-capacity ratio. Therefore, we developed the TTCI by employing traffic and geometric parameters to measure the congestion along the roadways on the urban road network. In addition to the development of the TTCI, level of service is measured and compared with the TTCI values for the selected road sections. The results indicate that employing all the variables together in a single technique yields much better and more-reliable values for congestion indexes. The results indicate that providing grade-separated intersections reduces traffic congestion to a great extent. The results also were found to be in line with the field conditions. This study also proposes using TTCI values to design the cordon lines for delaminating the congestion zones and estimating the level of service of the roadway. The findings of this study can be used by policymakers and transportation planners to design effective countermeasures for decongesting urban roadways.
    publisherASCE
    titleTraffic Congestion Assessment Tool for Urban Roads Based on Traffic and Geometric Characteristics: A Case of Hyderabad, India
    typeJournal Article
    journal volume149
    journal issue11
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-7908
    journal fristpage04023106-1
    journal lastpage04023106-15
    page15
    treeJournal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 011
    contenttypeFulltext
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