Heavy Vehicle’s Impact on Traffic Flow at Urban Roads

Swapnil G. Pokulwar; Swapnil G. Pokulwar; Kuldeep Dabhekar; Bhalchandra Khode

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25-Dec-24

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Heavy Vehicle’s Impact on Traffic Flow at Urban Roads

Author(s):

Swapnil G. Pokulwar , G. H. Raisoni College of Engg, Nagpur ; Swapnil G. Pokulwar, G. H. Raisoni College of Engg, Nagpur ; Kuldeep Dabhekar, G. H. Raisoni College of Engg, Nagpur ; Bhalchandra Khode, G. H. Raisoni College of Engg, Nagpur

Keywords:

Heavy vehicle, Traffic flow parameter, Capacity of lane, Traffic, Vehicle conversion model, Lane changing decision

Abstract:

The operational ability and acceleration capabilities of heavy vehicle are different as that of other smaller size vehicles and passenger car. Heavy vehicle, thus affects other vehicular traffic in a dissimilar manners than passenger car or other smaller sized vehicles, which causes dissimilar levels of traffic volatility. Increasing quantity and amount of heavy vehicle in the urban traffic may results in relatively different traffic flow characteristics. This research examines how heavy vehicle affect different traffic parameter in congested heterogeneous traffic situations. It especially concentrates on the heavy vehicle existence in common traffic and their interaction with other vehicles. Numerous factors that are considered as determinants of this impact were keep in mind in this research. This exploration illustrates the existence of heavy vehicles in the urban traffic stream disturb several factors of traffic parameter (Speed, travel time), capacity, lane changing maneoeure and congestion that are contemplation of as determinants of this impact were well thought-out in this research. In this study, a methodology for lane changing decision shedding light on such impact is proposed by vehicle conversion model in this converting the subjected vehicles to heavy vehicle and detecting driving decisions of following car drivers, the proportion of changed driving decisions under heterogeneous traffic condition with the different heavy vehicles percentage, and numbers of increased lane changes caused by these heavy vehicles is quantitatively provided, as well. The speed, travel time and capacity are found out by manual method and for finding LOS highway capacity software (2000) is used.