Page 103 - 《软件学报》2020年第12期

柏梦婷 等:行程时间预测方法研究 3769

[44] Xiong Z, Rey D, Mao T, Liu H. A three-stage framework for motorway travel time prediction. In: Proc. of the IEEE Int’l Conf. on
Intelligent Transportation Systems. 2014. 816−821.
[45] Wan N, Gomes G, Vahidi A, Horowitz R. Prediction on travel-time distribution for freeways using online expectation
maximization algorithm. In: Proc. of the Transportation Research Board 93rd Annual Meeting. 2014.
[46] Seybold C. Calibration of fundamental diagrams for travel time predictions based on the cell transmission model. In: Proc. of the
VS Verlag für Sozialwissenschaften. 2015. 207−220.
[47] Zhang X, Rice JA. Short-Term travel time prediction. Transportation Research Part C (Emerging Technologies), 2003,11(3-4):
187−210.
[48] Rice J, Vanzwet E. A simple and effective method for predicting travel times on freeways. IEEE Trans. on Intelligent
Transportation Systems, 2004,5(3):200−207.
[49] Sun H, Liu H, Xiao H, He R, Ran B. Use of local linear regression model for short-term traffic forecasting. Transportation
Research Record: Journal of the Transportation Research Board, 2003,1836:143−150.
[50] Oda T. An algorithm for prediction of travel time using vehicle sensor data. In: Proc. of the Int’l Conf. on Road Traffic Control.
1990. 40−44.
[51] Saito M, Watanabe T. Prediction and dissemination system for travel time utilizing vehicle detectors. In: Proc. of the Steps Forward,
Intelligent Transport Systems World Congress. 1995.
[52] Ishak S, Al-Deek H. Performance evaluation of short-term time-series traffic prediction model. Journal of Transportation
Engineering, 2002,128(6):490−498.
[53] Voort MVD, Dougherty M, Watson S. Combining kohonen maps with arima time series models to forecast traffic flow.
Transportation Research Part C (Emerging Technologies), 1996,4(5):307−318.
[54] Zhicharevich A, Margalit Y. Travel Time Prediction Problem RTA Freeway.
[55] Williams BM, Hoel LA. Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and
empirical results. Journal of Transportation Engineering, 2003,129(6):664−672.
[56] Xia J, Chen M, Huang W. A multistep corridor travel-time prediction method using presence-type vehicle detector data. Journal of
Intelligent Transportation Systems, 2011,15(2):104−113.
[57] Sun J, Zhang C, Chen SK, Xue R, Peng ZR. Route travel time estimation based on seasonal model and Kalman filtering algorithm.
Journal of Changan University, 2014,34(6):145−151.
[58] Okutani I. The Kalman filtering approaches in some transportation and traffic problems. In: Proc. of the Transportation and Traffic
Theory. 1987.
[59] Stephanedes YJ, Kwon E. Adaptive demand-diversion prediction for integrated control of freeway corridors. Transportation
Research Part C, 1993,1(1):23−42.
[60] Yang JS. Travel time prediction using the GPS test vehicle and Kalman filtering techniques. In: Proc. of American Control Conf.,
2005. 2128−2133.
[61] Ji H, Xu A, Sui X, Sui X, Li L. The applied research of Kalman in the dynamic travel time prediction. In: Proc. of the 18th Int’l
Conf. on Geoinformatics: GIScience in Change, Geoinformatics 2010. 2010. 1−5.
[62] Chen M, Chien S. Dynamic freeway travel-time prediction with probe vehicle data: Link based versus path based. Transportation
Research Record Journal of the Transportation Research Board, 2001,1768(1):157−161.
[63] Ojeda LRL, Kibangou AY, Wit CCD. Online dynamic travel time prediction using speed and flow measurements. In: Proc. of the
Control Conf. 2013. 4045−4050.
[64] Liu X, Chien SI, Chen M. An adaptive model for highway travel time prediction. Journal of Advanced Transportation, 2015,48(6):
642−654.
[65] Gross D, Craig RJ. A comparison of maximum likelihood, exponential smoothing and Bayes forecasting procedures in inventory
modelling. Int’l Journal of Production Research, 1974,12(5):607−622.
[66] Makridakis S. The accuracy of extrapolation (time series) methods: Results of a forecasting competition. Journal of Forecasting,
2010,1(2):111−153.
[67] Pitts. History of Neural Computing. 1943.