Author:
KAWASAKI Yosuke,UMEDA Shogo,KUWAHARA Masao,KUMAKURA Daiki,OHATA Takeshi,TANAKA Atsushi,MINAMI Kota,SUZUKI Yusuke
Publisher
Japan Society of Civil Engineers
Reference27 articles.
1. 1) Daganzo, C. F.: On the variational theory of traffic flow: well-posedness, duality and applications, Networks and Heterogeneous Media, Vol. 1(4), pp. 601-619, 2006.
2. 2) Mehran, B., Kuwahara, M. and Naznin, F.: Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data, Transp. Res. Part C, Vol. 20(1), pp. 144-163, 2012.
3. 3) Mehran, B. and Kuwahara, M.: Fusion of probe and fixed sensor data for short-term traffic prediction in urban signalized arterials, International Journal of Urban Sciences, Vol. 17(2), pp. 163-183, 2013.
4. 4) Takayasu, A. and Kuwahara, M.: Traffic state estimation considering stochasticity of input data based on variational theory, The 21st International Conference of Hong Kong Society for Transportation Studies, 2016.
5. 5) Work, D. B., Tossavainen, O. P., Blandin, S. and Bayen, A. M., Iwuchukwu, T. and Tracton, K.: An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices, Proceedings of the IEEE Conference on Decision and Control, 2008.