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Transportation Letters
The International Journal of Transportation Research
Volume 2, 2010 - Issue 3
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Original

Multivariate regression for estimating driving behavior parameters in work zone simulation to replicate field capacities

Praveen Edara
&
Indrajit Chatterjee
Pages 175-186 | Published online: 07 Sep 2013

Citations (6)

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Read on this site (2)

Ziyang Liu, Jie He, Changjian Zhang, Xintong Yan & Hao Zhang. (2022) Optimal off-ramp terminal locating strategy based on traffic safety and efficiency. Transportation Letters 14:2, pages 174-185.
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Yanchen Liu, Bo Zou, Anning Ni, Linjie Gao & Chunqin Zhang. (2021) Calibrating microscopic traffic simulators using machine learning and particle swarm optimization. Transportation Letters 13:4, pages 295-307.
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Articles from other publishers (4)

Nour O. Khanfar, Huthaifa I. Ashqar, Mohammed Elhenawy, Qinaat Hussain, Ahmad Hasasneh & Wael K. M. Alhajyaseen. (2022) Application of Unsupervised Machine Learning Classification for the Analysis of Driver Behavior in Work Zones in the State of Qatar. Sustainability 14:22, pages 15184.
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Nicholas L. Jehn & Rod E. Turochy. (2020) Development of Breakdown Probability Models and Heavy Vehicle Passenger Car Equivalents for Rural Freeway Work Zones. Transportation Research Record: Journal of the Transportation Research Board 2674:12, pages 144-154.
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Nicholas L. Jehn & Rod E. Turochy. (2019) Calibration of Vissim Models for Rural Freeway Lane Closures: Novel Approach to the Modification of Key Parameters. Transportation Research Record: Journal of the Transportation Research Board 2673:5, pages 574-583.
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João MorgadoJosé Neves. (2014) Work Zone Planning in Pavement Rehabilitation: Integrating Cost, Duration, and User Effects. Journal of Construction Engineering and Management 140:11.
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