Heterogeneity in traffic poses challenges in the analysis of traffic data for future forecast planning and design of highway facilities. Of the various parameters that are essential for the data analysis, lane adherence is an important parameter that plays a vital role in mapping traffic characteristics of a stream, in terms of capacity, safety, etc. There is a common perception that lane adherence of mixed traffic is poor. It is learnt from studies that the speed range of motorized vehicles is becoming narrower and attempt to stick to a lane is on the rise. Lane adherence needs to be promoted for better discharge at intersections in urban areas and safe travel. The improved design and construction of roads to standards are encouraging drivers to follow lane discipline. There seems to be pattern in selection of lane according to the speed of travel and size of vehicles. Automatic classified counting sensors have facilitated recording the position of vehicles with respect to cross section of the road. Precise information of vehicle position recording helps in study of lane adherence at a section. Daylong continuous data recording was carried out with infra-red-based sensor, TIRTL on three intercity roads. Apart from information about vehicle position from the edges of road, data such as speed, flow, headway and vehicle category was obtained. The traffic flow characteristics on the three intercity roads (two-lane undivided, four-lane and six-lane divided highways) and lane adherence observed are reported in this paper. The results indicate lane adherence of heterogeneous traffic flow is observed. The results could help planners and engineers to decide deployment of sensors for data collection and to plan optimal traffic management.


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    Title :

    Study of Lane Adherence of Heterogeneous Traffic on Intercity Roads


    Additional title:

    Lecture Notes in Civil Engineering




    Publication date :

    2022-11-11


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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