Network-Based Continuous Space Representation for Describing Pedestrian Movement in High Resolution


  • Wataru Nakanishi Tokyo Institute of Technology, Tokyo, Japan
  • Takashi Fuse The University of Tokyo, Tokyo, Japan



road network, offset, continuous space, general state space model, map matching


A concept of network-based continuous space representation is proposed and applied to the sequential map matching problem with simulation data assuming pedestrian movement. The concept allows for dealing with situations that the resolution of network representation is not high enough to describe the pedestrian movement considering the observation accuracy. The experiment showed that the proposed concept worked well in the example of pedestrian movement along with the sidewalk by estimation of accurate positions.


M. A. Quddus, W. Y. Ochieng, and R. B. Noland, “Current map-matching algorithms for transport

applications: State-of-the art and future research directions,” Transp. Res. Part C, Vol.15, no.5,

pp.312-328, 2007.

W. Kim, G. Jee and J. Lee, “Efficient use of digital road map in various positioning for ITS,” Proc. of

IEEE Symposium on Position Location and Navigation, 2000.

T. Hunter, R. Herring, P. Abbeel and A. Bayen, “Path and travel time inference from GPS probe

vehicle data,” Proc. of the Neural Information Processing Systems Foundation (NIPS), 2009.

N. Gordon, D. Salmond, and A. Smith, “Novel approach to nonlinear / non-Gaussian Bayesian state

estimation,” Radar and Signal Processing, IEE Proc. F, Vol.140, no.2, pp.107-113, 1993.

G. Kitagawa, “Monte Carlo filter and smoother for non-Gaussian nonlinear state space models,”

Journal of Computational and Graphical Statistics, Vol.5, no.1, pp.1-25, 1996.




How to Cite

Nakanishi, W., & Fuse, T. (2020). Network-Based Continuous Space Representation for Describing Pedestrian Movement in High Resolution. Collective Dynamics, 5, 486–489.



Proceedings of Pedestrian and Evacuation Dynamics 2018