Abstract:
A study was carried out to evaluate the performance of the intersection in terms of delay
based Level of Service (LOS), Accident Records and based on that appropriate
countermeasures are recommended to improve the performance.
In order to achieve the objectives of this study / research, at first a preliminary survey was
organized around the Dhaka Metropolitan City area. In Dhaka Metropolitan City, there
are ninety eight (98) major intersections, out of which sixty one (61) intersections were
surveyed in this preliminary survey. From the preliminary survey, seven (7) important
intersections were selected among the entire road network of Dhaka Metropolitan City on
the basis of site selection criteria, focusing on their importance and geometric
classification.
After the finishing of preliminary survey of those selected intersections, the final field
survey was performed. Detail data collection of various characteristics of intersections
were done, such as geometric and operating condition, vehicular flow, pedestrian flow,
side friction, traffic control devices, queue length, delay, accident record (reported), etc.
Finishing this data collection, analysis of data was done. From this analysis, a delay based
level of service (LOS) of different approaches of selected intersections was calculated as
per standard stated in Highway Capacity Manual (HCM) and American Association of
State Highway and Transport Officials (AASHTO). The overall LOS of those
intersections was found out by following a statistical method named
Average Method s was
established based on LOS. From this ranking, the worst and best performing intersections
were identified.
This study incorporated with the reported accident data. Accident data was obtained from
Accident Research Institute (ARI) of BUET for the period of sixteen (16) years (from
1998 to 2014).
Finally evaluation of parameters for signalized / un signalized road intersections under
heterogeneous traffic condition of Dhaka City, a delay based LOS and as well as ranking
were established with respect to accident data.
