Congestion Attack Detection in Intelligent Traffic Signal System: Combining Empirical and Analytical Methods
The intelligent traffic signal (I-SIG) system aims to perform automatic and optimal signal control based on traffic situation awareness by leveraging connected vehicle (CV) technology. However, the current signal control algorithm is highly vulnerable to CV data spoofing attacks. These vulnerabiliti...
Enregistré dans:
Auteurs principaux: | Yingxiao Xiang, Wenjia Niu, Endong Tong, Yike Li, Bowei Jia, Yalun Wu, Jiqiang Liu, Liang Chang, Gang Li |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi-Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/58c69a09ca844173b044fa6cd652d09f |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Intelligent Planning and Research on Urban Traffic Congestion
par: Qigang Zhu, et autres
Publié: (2021) -
Predictive Intelligent Transportation: Alleviating Traffic Congestion in the Internet of Vehicles
par: Le Zhang, et autres
Publié: (2021) -
Measures for controlling traffic congestion
Publié: (2014) -
Traffic congestion: the problem and how to tackle it
Publié: (2014) -
Traffic congestion: the problem and how to deal with it
Publié: (2015)