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    Modeling Duration of Lateral Shifts in Mixed Traffic Conditions

    Source: Journal of Transportation Engineering, Part A: Systems:;2018:;Volume ( 144 ):;issue: 009
    Author:
    Asaithambi Gowri;Joseph Jibin
    DOI: 10.1061/JTEPBS.0000170
    Publisher: American Society of Civil Engineers
    Abstract: Traffic on urban roads in developing countries is characterized by wide mix of vehicles with loose lane discipline, which results in parallel movement of vehicles in the same lane. Hence, vehicles not only interact longitudinally with the vehicles ahead but also laterally with vehicles to the sides. Lateral movements have a significant impact on the characteristics of traffic flow and therefore are of great importance in microscopic traffic simulation models. Existing simulation models for mixed traffic conditions model lateral shifts (lateral movements) as an instantaneous process but neglects detailed modeling. However, the duration for lateral shifts is generally in the range of .5–15 s. The omission of lateral shift duration from simulation models may have a significant impact on simulation outputs. Also, different vehicle types may have different lateral shift durations due to variations in their physical and operational characteristics. This paper attempts to develop a vehicle-specific lateral shift duration model by considering different explanatory variables such as direction of lateral shift, available space gaps, speeds of subject vehicle and surrounding vehicles, vehicle types, and clearance. The models were estimated using trajectory data collected during medium-flow conditions from an urban arterial in Chennai city, India. The findings from this study have direct implications on modeling lateral shifts in microscopic traffic simulations to be developed specifically for mixed traffic conditions.
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      Modeling Duration of Lateral Shifts in Mixed Traffic Conditions

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    contributor authorAsaithambi Gowri;Joseph Jibin
    date accessioned2019-02-26T07:36:36Z
    date available2019-02-26T07:36:36Z
    date issued2018
    identifier otherJTEPBS.0000170.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248235
    description abstractTraffic on urban roads in developing countries is characterized by wide mix of vehicles with loose lane discipline, which results in parallel movement of vehicles in the same lane. Hence, vehicles not only interact longitudinally with the vehicles ahead but also laterally with vehicles to the sides. Lateral movements have a significant impact on the characteristics of traffic flow and therefore are of great importance in microscopic traffic simulation models. Existing simulation models for mixed traffic conditions model lateral shifts (lateral movements) as an instantaneous process but neglects detailed modeling. However, the duration for lateral shifts is generally in the range of .5–15 s. The omission of lateral shift duration from simulation models may have a significant impact on simulation outputs. Also, different vehicle types may have different lateral shift durations due to variations in their physical and operational characteristics. This paper attempts to develop a vehicle-specific lateral shift duration model by considering different explanatory variables such as direction of lateral shift, available space gaps, speeds of subject vehicle and surrounding vehicles, vehicle types, and clearance. The models were estimated using trajectory data collected during medium-flow conditions from an urban arterial in Chennai city, India. The findings from this study have direct implications on modeling lateral shifts in microscopic traffic simulations to be developed specifically for mixed traffic conditions.
    publisherAmerican Society of Civil Engineers
    titleModeling Duration of Lateral Shifts in Mixed Traffic Conditions
    typeJournal Paper
    journal volume144
    journal issue9
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000170
    page4018055
    treeJournal of Transportation Engineering, Part A: Systems:;2018:;Volume ( 144 ):;issue: 009
    contenttypeFulltext
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