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Title: A Multilevel Generalized Ordered Probit Fractional Split Model: Modeling Vehicle Speed on Arterial Roads in Orlando
Accession Number: 01659719
Record Type: Component
Abstract: Vehicle operating speed plays a significant role in many fields of transportation engineering including safety, operation, design and management. The current research effort contributes to literature on examining vehicle speed on arterial roads methodologically and empirically. Specifically, the authors propose and estimate a panel mixed generalized ordered probit fractional split (PMGOPFS) model to examine critical factors contributing to vehicle operating speed on roadways. The proposed modeling framework allows for the exogenous variable impacts to vary across the alternatives. Further, the model is formulated to allow for the impact of common unobserved factors across multiple levels (roadway, segment, direction, day and time period). The proposed model is estimated employing a quasi-likelihood based objective function. Vehicular speed data obtained from 14 arterial roads in Orlando for the year 2016 is used for estimating the model. The data is obtained for weekday evening peak hours for one randomly chosen week for each roadway throughout the year. The exogenous variables that are considered in the current empirical study include geometry, roadway, traffic and environmental attributes.
Supplemental Notes: This paper was sponsored by TRB committee ABJ80 Standing Committee on Statistical Methods.
Report/Paper Numbers: 18-06114
Language: English
Authors: Bhowmik, TanmoyYasmin, ShamsunnaharEluru, NaveenPagination: 11p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Maps; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-06114
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:35AM
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