On the Observability and Redundancy of Intelligent Transportation Networks
Abstract
The safety and reliability of intelligent-transportation-systems (ITS) can be greatly enhanced through adding redundancy in the information-sharing network of the vehicles. In this paper, we first model the mixed traffic of human-driven and autonomous vehicles as a distributed system observability problem over a network of communicating vehicles. We clearly show that a strongly-connected network with minimum n links (with n as network size) is sufficient for the observability of mixed traffic network. Then, we present graph-theoretic results on adding redundancy to the changing network of vehicles to make it resilient to the failure of certain number of vehicles/sensors or their data-sharing links. Finally, we employ distributed observer design to validate our results over a simple mixed traffic example.
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BibTeX
@misc{doostmohammadian2026observability,
title = {{On the Observability and Redundancy of Intelligent Transportation Networks}},
author = {Mohammadreza Doostmohammadian},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.26053},
eprint = {2609.26053},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.26053},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - On the Observability and Redundancy of Intelligent Transportation Networks
AU - Mohammadreza Doostmohammadian
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2609.26053
UR - https://arxiv.org/abs/2609.26053
AB - The safety and reliability of intelligent-transportation-systems (ITS) can be greatly enhanced through adding redundancy in the information-sharing network of the vehicles. In this paper, we first model the mixed traffic of human-driven and autonomous vehicles as a distributed system observability problem over a network of communicating vehicles. We clearly show that a strongly-connected network with minimum n links (with n as network size) is sufficient for the observability of mixed traffic network. Then, we present graph-theoretic results on adding redundancy to the changing network of vehicles to make it resilient to the failure of certain number of vehicles/sensors or their data-sharing links. Finally, we employ distributed observer design to validate our results over a simple mixed traffic example.
ER -