Tarique Anwar
Md. Saiful Islam
ABSTRACT
The congestion scenario on a road network is often represented by a set of differently congested partitions having homogeneous level of congestion inside. Due to the changing traffic, these partitions evolve with time. In this paper, we propose a two-layer method to incrementally update the differently congested partitions from those at the previous time point in an efficient manner, and thus track their evolution. The physical layer performs low-level computations to incrementally update a set of small-sized road network building blocks, and the logical layer provides an interface to query the physical layer about the congested partitions. At each time point, the unstable road segments are identified and moved to their most suitable building blocks. Our experimental results on different datasets show that the proposed method is much efficient than the existing re-partitioning methods without significant sacrifice in accuracy.
- T. Anwar, C. Liu, H. L. Vu, and M. S. Islam. Roadrank: Traffic diffusion and influence estimation in dynamic urban road networks. In Proc. of the CIKM, pages 1671--1674, 2015. Google Scholar
Digital Library
- T. Anwar, C. Liu, H. L. Vu, and C. Leckie. Spatial partitioning of large urban road networks. In EDBT, pages 343--354, 2014.Google Scholar
- T. Anwar, H. L. Vu, C. Liu, and S. P. Hoogendoorn. Temporal tracking of congested partitions in dynamic urban road networks. In Proc. of the TRB Annual Meeting, 2016.Google ScholarCross Ref
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- Y. Ji, J. Luo, and N. Geroliminis. Empirical observations of congestion propagation and dynamic partitioning with probe data for large-scale systems. Transportation Research Record, 2422:1--11, 2014.Google ScholarCross Ref
- M. F. Mokbel, L. Alarabi, J. Bao, A. Eldawy, A. Magdy, M. Sarwat, E. Waytas, and S. Yackel. Mntg: an extensible web-based traffic generator. In SSTD, pages 38--55, 2013.Google ScholarCross Ref
- L.-Y. Wei and W.-C. Peng. An incremental algorithm for clustering spatial data streams: exploring temporal locality. Knowledge and Information Systems, 37(2):453--483, 2013.Google ScholarCross Ref
Index Terms
- Tracking the Evolution of Congestion in Dynamic Urban Road Networks
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