Re-identification by Inductive Loop Detector: Experimentation on target origin — Destination matrix

Abstract

Traffic congestion has led to research on how to use the existing infrastructure more efficiently. The experimental platform SAROT was constructed to allow traffic analysis but also to test new algorithms for traffic modeling and management. Origin-Destination (OD) Matrix is one of the most important traffic information for Intelligent Traffic System. By using the experimental platform SAROT, we want to test algorithms for OD Matrix. To obtain OD matrix, we need to get useful and accurate data by tracking vehicles. Two approaches for tracking vehicles by using Inductive Loop Detector (ILD) are used. Both approaches are computed on real traffic data set and compared. We use threshold decision to improve the correct matching rate for tracking vehicles. We propose a new methodology by associating two algorithms for increasing the correct matching rate. The new methodology was used to perform target OD matrix.

Original document

The different versions of the original document can be found in:

• https://hal.archives-ouvertes.fr/hal-00795232/file/b_guilbert2013.pdf under the license https://creativecommons.org/licenses/by

• http://xplorestaging.ieee.org/ielx7/6601112/6629437/06629666.pdf?arnumber=6629666,

http://dx.doi.org/10.1109/ivs.2013.6629666 under the license cc-by

• https://dblp.uni-trier.de/db/conf/ivs/ivs2013.html#GuilbertBIW13,

https://hal.archives-ouvertes.fr/hal-00795232,

https://ieeexplore.ieee.org/document/6629666,

https://academic.microsoft.com/#/detail/2068792634