Traffic Congestion

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MANAGING TRAFFIC CONGESTION IN RATHNAPURA TOWN AREA
Background
Transport problem that currently experienced by the city of Rathnapura, due to the increment of the traffic congestion from the large number of vehicles. The development of urban area creates complex problems in daily life with traffic. Heavy traffic congestion occurs during school-opening hours especially between 7.30a.m - 8.30a.m followed by office traffic between 7.00a.m and 9.00a.m. In the closing times of school and office are the same sort of traffic congestion is occurred; time between 1.30p.m-2.30p.m and 5.00p.m- 7.00p.m for the office-closing hours. These causes cannot be ended only by applying physical constructions. Usually, traffic jams are caused due to many reasons,
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The time and direction split are useful to identify the nature of the traffic flow. Furthermore, this study is to analyze the traffic congestion considering the vehicle count with the vehicle densities for certain time intervals and some parameters associated with the traffic congestion such as traffic volume count, average speed count, free space length count will be taken. Basically, this study is to examine the existing operating condition of a roadway section, the possibility to place HOV lane and to proposed suitable alternative road segment for solve traffic congestion in peak hours.

Objectives
The goal of this research is to minimize traffic Congestion in peak hours to ensure a satisfactory access to Rathnapura town area.
The main aim of this study was to find the solutions for the traffic congestion of the Colombo- Rathnapura road in the city area. It is highly using the main road in the Rathnapura town because all vehicles from Colombo to Badulla, Monaragala, Embilipitiya, Kalawana are mainly passing through the Rathnapura town.
To minimize the traffic congestion in Rathnapura town region using alternative road.
To provide a predictable travel time.
Proposing High Occupancy Vehicle
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Generally, the purpose of these traffic surveys are to changing the transport system with . Data must be collected and analyzed Get systematically representative

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