An Assessment on Turning Restriction of Vehicle at Intersections in an Arterial Road
Khandaker Samin Atif1, Saurav Barua2, Md. Firoz Mahmood3

1Khandaker Samin Atif, Department of Civil Engineering, Ahsanullah University of Engineering & Technology, Dhaka Bangladesh.
2Saurav Barua, Department of Civil Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh.
3Md. Firoz Mahmood, Department of Civil Engineering, Ahsanullah University of Engineering & Technology, Dhaka Bangladesh.
Manuscript received on 14 June 2015 | Revised Manuscript received on 23 June 2015 | Manuscript Published on 30 June 2015 | PP: 47-51 | Volume-5 Issue-1, June 2015 | Retrieval Number: A2114065115/15©BEIESP
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Abstract: Urbanization and population growth accompanied by high travel demand increasing pressure on transportation system and creating traffic congestion. Mega cities with large population cannot cope with high traffic demand due to lack of finance and shortage of adequate land for construction of new roads. However, capacity of existing road can be many folded and performance of the arterials can be augmented through proper traffic management. In this study, we have discussed on a survey study conducted in Mirpur road of Dhaka city—which is one of the busiest arterial there. Grid lock Traffic jam is a common phenomenon and right turning vehicle at intersections worsen the situation. Restricting right turning vehicle in the intersections in lieu of allowing those vehicle to pass through the U-turn in the mid block section can resolve this problem feasibly. CORSIM simulation model is used for Mirpur road (Science Laboratory to Asad Gate). Through the sections of CORSIM simulation model is reviewed, selection of study area and roadway network performance are investigated. An idealistic model for Mirpur road is developed, calibrated and applied to analyze planning options.
Keywords: Traffic Congestion, Simulation, CORSIM, Traffic Management, Arterials.

Scope of the Article: Simulation Optimization and Risk Management