A copula-based approach for estimating the travel time reliability of urban arterial
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Ali, 1978, A class of bivariate distributions including the bivariate logistic, J. Multivar. Anal., 8, 405, 10.1016/0047-259X(78)90063-5
Bates, 2001, The valuation of reliability for personal travel, Transp. Res. Part E, 37, 191, 10.1016/S1366-5545(00)00011-9
Breymann, 2003, Dependence structures for multivariate high-frequency data in finance, Quant. Finance, 3, 1, 10.1080/713666155
Bhaskar, 2009, Integrating cumulative plots and probe vehicle for travel time estimation on signalized urban network
Bhat, 2009, A copula-based approach to accommodate residential self-selection effects in travel behavior modeling, Transp. Res. Part B, 43, 749, 10.1016/j.trb.2009.02.001
Bowman, 1997
Chen, 2013, Analysis of delay variability at isolated signalized intersections, J. Zhejiang Univ. Sci. A, 14, 691, 10.1631/jzus.A1300208
Chen, 2014, Application of finite mixture of regression model with varying mixing probabilities to estimation of urban arterial travel times, Transp. Res. Rec.: J. Transp. Res. Board, 2442, 96, 10.3141/2442-11
Chen, 2017, Estimation of delay variability at signalized intersections for urban arterial performance evaluation, J. Intell. Transp. Syst., 21, 94, 10.1080/15472450.2016.1216319
Eman, 2006, Using real-life dual-loop detector data to develop new methodology for estimating freeway travel time reliability, Transp. Res. Rec.: J. Transp. Res. Board, 1959, 140, 10.3141/1959-16
Embrechts, 2002, Correlation and dependence in risk management: properties and pitfalls, Risk Manage. Value Risk Beyond, 176, 10.1017/CBO9780511615337.008
Frank, 1979, On the simultaneous associativity of F(x, y) and x+y-F(x, y), Aequationes Math., 19, 194, 10.1007/BF02189866
Feng, 2012, Bayesian model for constructing arterial travel time distributions using GPS probe vehicles
Genest, 2006, Goodness-of-fit procedures for copula models based on the integral probability transformation, Scand. J. Stat., 33, 337, 10.1111/j.1467-9469.2006.00470.x
Genest, 2007, Everything you always wanted to know about copula modeling but were afraid to ask, J. Hydrol. Eng., 12, 347, 10.1061/(ASCE)1084-0699(2007)12:4(347)
Genest, 2009, Goodness-of-fit tests for copulas: a review and a power study, Insur.: Math. Econ., 44, 199
Geroliminis, 2006, Real time vehicle reidentification and performance measures on signalized arterials
Guo, 2010, Multistate model for travel time reliability, Transp. Res. Rec.: J. Transp. Res. Board, 2128, 46, 10.3141/2188-06
He, 2002
Hellinga, 2008, Decomposing travel time measured by probe-based traffic monitoring systems to individual road segments, Transp. Res. Part C, 16, 768, 10.1016/j.trc.2008.04.002
Herring, 2010, Estimating arterial traffic conditions using sparse probe data
Highway Capacity Manual, 2010
Hofert, 2012, Likelihood inference for Archimedean copulas in high dimensions under known margins, J. Multivar. Anal., 110, 133, 10.1016/j.jmva.2012.02.019
Hollander, 2008, Estimation of distribution of travel times by repeated simulation, Transp. Res. Part C: Emerg. Technol., 16, 212, 10.1016/j.trc.2007.07.005
Iida, 1999, Basic concepts and future directions of road network reliability analysis, J. Adv. Transp., 33, 125, 10.1002/atr.5670330203
Ji, 2013, Travel time distributions on urban streets: their estimation with a hierarchical bayesian mixture model and applications to traffic analysis using high-resolution bus probe data
Kazagli, 2012, Estimation of arterial travel time from automatic number plate recognition data, Transp. Res. Rec.: J. Transp. Res. Board, 2391, 22, 10.3141/2391-03
Kendall, 1990
Killmann, 2001, A note on the convolution of the uniform and related distributions and their use in quality control, Econ. Qual. Control, 16, 17, 10.1515/EQC.2001.17
Liu, 2009, A virtual vehicle probe model for time-dependent travel time estimation on signalized arterials, Transp. Res. Part C: Emerg. Technol., 17, 11, 10.1016/j.trc.2008.05.002
Ma, 2016, Modeling distributions of travel time variability for bus operations, J. Adv. Transp., 50, 6, 10.1002/atr.1314
Mohammad, 2015, Probabilistic estimation of link travel times in dynamic road networks
NGSIM, 2005. Next Generation Simulation. <http://ngsim.fhwa.dot.gov>.
Pattanamekar, 2003, Dynamic and stochastic shortest path in transportation networks with two components of travel time uncertainty, Transp. Res. Part C: Emerg. Technol., 11, 331, 10.1016/S0968-090X(03)00029-9
R Development Core Team, 2008
Rakha, 2006, Estimating path travel-time reliability, 236
Ramezani, 2012, On the estimation of arterial route travel time distribution with Markov chains, Transp. Res. Part B: Meth., 46, 1576, 10.1016/j.trb.2012.08.004
Ramezani, 2015, Queue profile estimation in congested urban networks with probe data, Comput.-Aided Civil Infrastruct. Eng., 30, 414, 10.1111/mice.12095
Rasmussen, 1999, The infinite Gaussian mixture model, Adv. Neural. Inf. Process. Syst., 159, 554
Skabardonis, 2005, Real-time estimation of travel times on signalized arterials, 387
Skabardonis, 2008, Real-time monitoring and control on signalized arterials, J. Intell. Transp. Syst., 12, 64, 10.1080/15472450802023337
Sklar, 1959, Fonctions de répartition à n dimensions et leurs marges, Publications de l’Institut de Statistique de l’Université de Paris, 8, 229
Sklar, 1973, Random variables, joint distribution functions, and copulas, Kybernetika, 9, 449
Strategic Highway Research Program (SHRP 2) Report S2–L02-RR-2, 2014. Guide to Establishing Monitoring Programs for Travel Time Reliability.
Strategic Highway Research Program (SHRP 2) Report S2–L07-RR-2, 2014. Design Guide for Addressing Nonrecurrent Congestion.
Strategic Highway Research Program (SHRP 2) Report S2–L14-RW-1, 2014. Effectiveness of Different Approaches to Disseminating Traveler Information on Travel Time Reliability.
Susilawati, 2013, Distribution of travel time variability, J. Adv. Transp., 47, 720, 10.1002/atr.192
Trivedi, P.K., Zimmer, D.M., 2007. Copula modeling: an introduction for practitioners. Foundations and Trends in Econometrics 1(1), Now Publishers, 2007.
Uno, 2009, Using bus probe data for analysis of travel time variability, J. Intell. Transp. Syst., 13, 2, 10.1080/15472450802644439
Van Lint, 2008, Travel time unreliability on freeways: why measures based on variance tell only half the story, Transp. Res. Part A: Policy Pract., 42, 258
Westgate, 2016, Large-network travel time distribution estimation for ambulances, Eur. J. Oper. Res., 252, 322, 10.1016/j.ejor.2016.01.004
Zeng, 2015, Application of lagrangian relaxation approach to α-reliable path finding in stochastic networks with correlated link travel times, Transp. Res. Part C: Emerg. Technol., 56, 309, 10.1016/j.trc.2015.04.018
Zheng, 2010, Uncertainty and predictability of urban link travel time: a delay distribution based analysis, Transp. Res. Rec.: J. Transp. Res. Board, 2259, 80, 10.3141/2259-08
Zou, 2016, A copula-based approach to accommodate the dependence among microscopic traffic variables, Transp. Res. Part C: Emerg. Technogl., 70, 53, 10.1016/j.trc.2015.11.003
Zou, 2014, Constructing a bivariate distribution for freeway speed and headway data, Transportmetrica A: Transp. Sci., 10, 255, 10.1080/18128602.2012.745099