Comparison of Headway Measurement Methods for Heterogeneous Traffic Conditions
Mubashir, Jamal Ahmed Khan, Azeem Ullah Shah
Abstract
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Mubashir, Jamal Ahmed Khan, Azeem Ullah Shah
Abstract
Open-access reader
Abstract: This paper covers research aimed at determining if moving method (MM) is capable enough to accurately determine traffic parameters including headway, traffic flow, and traffic density on 2-lane highways under heterogeneous traffic conditions of Pakistan. For this, stationary method (SM) is set as base and results obtained by MM are compared. Linear model is developed to compare headway measured using MM. Results indicated that for 2-lane highway, chi-square value is 0.65 indicating 65% of results obtained by MM are compatible to SM. Percentage difference b/w the results obtained by MM and SM for traffic flow and traffic density are 2.32 and 5.17 respectively. Overall performance of MM for traffic parameter determination is quite satisfactory however, these results are only valid in generalized conditions. For specific conditions of traffic and road, these models need to be re-evaluated
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Abstract: This paper covers research aimed at determining if moving method (MM) is capable enough to accurately determine traffic parameters including headway, traffic flow, and traffic density on 2-lane highways under heterogeneous traffic conditions of Pakistan. For this, stationary method (SM) is set as base and results obtained by MM are compared. Linear model is developed to compare headway measured using MM. Results indicated that for 2-lane highway, chi-square value is 0.65 indicating 65% of results obtained by MM are compatible to SM. Percentage difference b/w the results obtained by MM and SM for traffic flow and traffic density are 2.32 and 5.17 respectively. Overall performance of MM for traffic parameter determination is quite satisfactory however, these results are only valid in generalized conditions. For specific conditions of traffic and road, these models need to be re-evaluated
Key concepts: Headway, Traffic flow (computer networking), Statistics, Set (abstract data type), Computer science, Mathematics, Environmental science, Simulation