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Critical gap estimation becomes complex in heterogeneous traffic condition.
Direct application of these models to non lane based heterogeneous traffic condition will result in erroneous estimation of delay.
Unlike the other capacity estimation models, VISSIM is helpful in estimating capacity values using geometric and driver characteristics and it can also simulate heterogeneous traffic condition accurately.
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Heterogeneous traffic conditions prevail in developing countries.
However, in heterogeneous traffic conditions there exists tractors, motorized and non-motorized three-wheelers, etc.
Further, VISSIM has emerged as a better candidate for estimating capacity values for heterogeneous traffic conditions.
Negative binomial models are found to be appropriate to predict road crashes on divided roadways under heterogeneous traffic conditions.
In heterogeneous traffic conditions, roundabout capacity is described by vehicle and driver characteristics which are different from traffic conditions in homogeneous conditions.
The results obtained were promising and show that Bluetooth is a cost-effective technology for estimation of travel time for heterogeneous traffic conditions.
This study is the first of its kind to demonstrate the applicability of Bluetooth for travel time estimation under heterogeneous traffic conditions.
This study has shown that the Bluetooth is a cost-effective technology for estimation of travel time for heterogeneous traffic conditions.
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