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    Comparative Univariate and Regression Survival Analysis of Lane-Changing Duration Characteristic for Heavy Vehicles and Passenger Cars

    Source: Journal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 012::page 04022109
    Author:
    Yang Li
    ,
    Linbo Li
    ,
    Daiheng Ni
    DOI: 10.1061/JTEPBS.0000771
    Publisher: ASCE
    Abstract: In contrast to passenger cars, the lane-changing (LC) behavior of heavy vehicles has a more profound impact on traffic flow. This paper investigates LC duration characteristics for heavy vehicles and passenger cars through comparative univariate and regression survival analysis. LC events are extracted from the HighD dataset. Five commonly-used univariate survival models are introduced to explore the overall survival function of LC duration between passenger cars and heavy vehicles. Three accelerate failure time models are employed to investigate the difference of the influencing factors of LC duration. Our results demonstrate that a significant difference exists in LC characteristic between these two types of vehicles. The survival curve of heavy vehicles is always above that of passenger cars, and these two curves show a trend of moving away from each other and then gradually approaching. The median survival time (MST) of heavy vehicles is 0.57 s higher than passenger cars. Heavy vehicles would maintain a longer time-headway and distance-headway with preceding vehicle when changing lane, and their LC durations are less susceptible to such interactions with the preceding vehicle and more susceptible to their own speed. Finally, the main findings, modeling implications, practical applications, and future work have been discussed. We hope this paper could contribute to our further understanding of LC behaviors of heavy vehicles and passenger cars.
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      Comparative Univariate and Regression Survival Analysis of Lane-Changing Duration Characteristic for Heavy Vehicles and Passenger Cars

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4289519
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorYang Li
    contributor authorLinbo Li
    contributor authorDaiheng Ni
    date accessioned2023-04-07T00:40:26Z
    date available2023-04-07T00:40:26Z
    date issued2022/12/01
    identifier otherJTEPBS.0000771.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289519
    description abstractIn contrast to passenger cars, the lane-changing (LC) behavior of heavy vehicles has a more profound impact on traffic flow. This paper investigates LC duration characteristics for heavy vehicles and passenger cars through comparative univariate and regression survival analysis. LC events are extracted from the HighD dataset. Five commonly-used univariate survival models are introduced to explore the overall survival function of LC duration between passenger cars and heavy vehicles. Three accelerate failure time models are employed to investigate the difference of the influencing factors of LC duration. Our results demonstrate that a significant difference exists in LC characteristic between these two types of vehicles. The survival curve of heavy vehicles is always above that of passenger cars, and these two curves show a trend of moving away from each other and then gradually approaching. The median survival time (MST) of heavy vehicles is 0.57 s higher than passenger cars. Heavy vehicles would maintain a longer time-headway and distance-headway with preceding vehicle when changing lane, and their LC durations are less susceptible to such interactions with the preceding vehicle and more susceptible to their own speed. Finally, the main findings, modeling implications, practical applications, and future work have been discussed. We hope this paper could contribute to our further understanding of LC behaviors of heavy vehicles and passenger cars.
    publisherASCE
    titleComparative Univariate and Regression Survival Analysis of Lane-Changing Duration Characteristic for Heavy Vehicles and Passenger Cars
    typeJournal Article
    journal volume148
    journal issue12
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000771
    journal fristpage04022109
    journal lastpage04022109_9
    page9
    treeJournal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 012
    contenttypeFulltext
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