Determination of Observation Weight to Calibrate Freeway Traffic Fundamental Diagram Using Weighted Least Square Method (WLSM)
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Ambarwati L, Pel AJ, Verhaeghe R, van Arem B. Empirical analysis of heterogeneous traffic flow and calibration of porous flow model. Transp Res Part C: Emerg Technol. 2014;48:418-436. doi:10.1016/j.trc.2014.09.017
Antoniou C, Koutsopoulos HN, Yannis G. Dynamic data-driven local traffic state estimation and prediction. TranspRes Part C: Emerg Technol. 2013;34:89-107. doi:10.1016/j.trc.2013.05.012
Ngoduy D, Maher MJ. Calibration of second order traffic models using continuous cross entropy method. Transp Res Part C: Emerg Technol. 2012;24:102-121. doi:10.1016/j.trc.2012.02.007
Greenshields BD, Bibbins JR, Channing WS, Miller, HH.A study of traffic capacity. Highway Research Board. 1935;14:448-477.
Greenberg H. An analysis of traffic flow. Oper Res. 1959;7(1):79-85. doi: 10.1287/opre.7.1.79
Heydecker BG, Addison JD. Analysis and modelling of traffic flow under variable speed limits. Transp Res Part C: Emerg Technol. 2011;19(2):206-217. doi: 10.1016/j.trc.2010.05.008
Newell GF. Nonlinear effects in the dynamics of car following. Oper Res. 1961;9(2):209-229.
Wang H, Li H, Chen QY, Ni D. Logistic modeling of the equilibrium speed-density relationship. Transp Res Part A: Policy Pract. 2011;45(6):554-566. doi:10.1016/j.tra.2011.03.010
Edie LC. Car-following and steady-state theory for noncongested traffic. Oper Res. 1961;9:66-76.
Sun L, Zhou J. Development of multiregime speed–density relationship by cluster analysis. Transp Res Rec J Transp Res Board. 2005;193:64-71. doi: http://dx.doi.org/10.3141/1934-07
Qu X, Wang S, Zhang J. On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transp Res Part B: Method. 2015;73:91-102. doi:10.1016/j.trb.2015.01.001
Veraart J, Sijbers J, Sunaert S, Leemans A, Jeurissen B. Weighted linear least squares estimation of diffusion MRI parameters: strengths, limitations, and pitfalls. Neuroimage. 2013;81:335-346. doi:10.1016/j.neuroimage.2013.05.028
Zhuang X, Zhu H, Augarde C. An improved meshless Shepard and least squares method possessing the delta property and requiring no singular weight function. Comput Mech. 2014;53(2):343-357. doi: 10.1007/s00466-013-0912-1
Fang X. Weighted total least squares: necessary and sufficient conditions, fixed and random parameters. J Geodesy. 2013;87(8):733-749. doi: 10.1007/s00190-013-0643-2
Mahboub V, Sharifi MA. On weighted total leastsquares with linear and quadratic constraints. J Geodesy. 2013;87(3):279-286. doi:10.1007/s00190-012-0598-8
Ciucci F. Revisiting parameter identification in electrochemical impedance spectroscopy: Weighted least squares and optimal experimental design. Electrochim Acta. 2013;87:532-545. doi:10.1016/j.electacta.2012.09.073
Wang L, Xu L, Feng S, Meng MQH, Wang K. Multi-Gaussian fitting for pulse waveform using weighted least squares and multi-criteria decision making method. Comput Biol Med. 2013;43(11):1661-1672. doi:10.1016/j.compbiomed.2013.08.004
Khatibinia M, Fadaee MJ, Salajegheh J, Salajegheh E. Seismic reliability assessment of RC structures including soil–structure interaction using wavelet weighted least squares support vector machine. Reliab Eng Syst Safe. 2013;110:22-33. doi:10.1016/j.ress.2012.09.006
Parrish RM, Sherrill CD, Hohenstein EG, Kokkila SI, Martínez TJ. Communication: Acceleration of coupled cluster singles and doubles via orbital-weighted least-squares tensor hypercontraction. J Chem Phys. 2014;140(18). doi:10.1063/1.4876016
Stanley TD, Doucouliagos H. Neither fixed nor random: weighted least squares meta-analysis. Stat Med. 2015;34(13):2116-2127. doi:10.1002/sim.6481
Einemo M, So HC. Weighted least squares algorithm for target localization in distributed MIMO radar. Signal Processing. 2015;115:144-150. doi: 10.1016/j.sigpro.2015.04.004
Washington SP, Karlaftis MG, Mannering FL. Statistical and econometric methods for transportation data analysis. London: Chapman and Hall; 2013.