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RISS 인기검색어
- 검색키워드
- 저자 : Arpan Mehar (검색결과 2 건)
- 무료
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Highway Capacity Through Vissim Calibrated for Mixed Traffic Conditions
Arpan Mehar,Satish Chandra,S. Velmurugan 대한토목학회 2014 KSCE Journal of Civil Engineering Vol.18 No.2
The present study demonstrates applicability of VISSIM software to determine capacity of multilane highways under mixed trafficflow conditions. Traffic flow data collected on a section of four-lane divided highway are used to develop the speed-flow curve. Thesame set of field data is used in VISSIM and simulated speed-flow curve is compared with field curve. It was found that VISSIM inits original form overestimates both speed and capacity of the highway. Driver behaviour parameters CC0 and CC1 are firstdetermined for homogeneous traffic conditions having only one of the four types of vehicles in the stream and then results areaggregated to get the values of these parameters for a mixed traffic stream. Further analysis of field data with calibrated values ofCC0 and CC1 indicated a good match between field and simulated capacity. The procedure is shown to work on another section offour-lane divided highway with paved shoulders, where simulated capacity was 5329 pcu/hr against the field capacity of 5277 pcu/hr.
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Effect of Traffic Composition on Capacity of Multilane Highways
Satish Chandra,Arpan Mehar,Senathipathi Velmurugan 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.5
Mixed traffic has always been a major concern in all studies related to estimation of capacity of a highway in developing nations like India. The problem of mixed traffic is generally circumvented by making use of passenger car equivalency factors for different categories of vehicles and converting them into equivalent number of Passenger Cars Units (PCU). However, capacity is also required in terms of vehicles per hour, particularly for quick estimation of volume-to-capacity ratio on a highway. The present study investigates the effect of traffic mix on capacity of four-lane, six-lane divided highways in India. All vehicles on a highway are divided into five categories namely standard car, big car, heavy vehicle, motorized three-wheelers and motorized two-wheelers, and effect of each vehicle type on capacity of the highway is evaluated. The VISSIM software is calibrated and used to generate the traffic operations based on field data using capacity as the measure of performance. Speed-flow curves are developed to find simulated capacity values for different combinations of standard car and one of the remaining four types of vehicles in the traffic stream. The results are finally combined to propose the generalized equations to determine capacity when all or few of the five categories of vehicles are simultaneously present on a highway.
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