Article
Engineering, Civil
Marco Autili, Lei Chen, Cristofer Englund, Claudio Pompilio, Massimo Tivoli
Summary: With the emergence of connected automated vehicles, 5G, and Internet of Things, C-ITS enables stakeholders from different sectors to cooperate for improving overall transport performance. By reusing and composing heterogeneous services, novel value-added applications can be developed for road and traffic information. The CHOReVOLUTION Integrated Development and Runtime Environment (IDRE) has been successfully utilized to accelerate the reuse-based development of a choreography-based Urban Traffic Coordination (UTC) application.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Haotong Cao, Sahil Garg, Georges Kaddoum, Satinder Singh, M. Shamim Hossain
Summary: This paper researches the issue of softwarized resource management and allocation in 6G networks for C-ITS application and proposes an architecture design based on reinforcement learning (RL) to achieve intelligent and softwarized resource management and allocation. Simulation results demonstrate that the proposed architecture has a higher success ratio advantage compared to the direct counterpart without training.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Mu-Yen Chen, Hsiu-Sen Chiang, Kai-Jui Yang
Summary: This study develops short-term and long-term travel time prediction models considering temporal and spatial characteristics. The results show that kNN-R provides the most accurate short-term predictions, while SARIMAX and fbProphet perform the best in long-term forecasting. Travel time prediction can assist traffic management agencies in implementing appropriate traffic management measures.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Automation & Control Systems
Cherry Mangla, Shalli Rani, Norbert Herencsar
Summary: With changing times, the need for security has increased in all fields, including cloud networks and vehicular networks. The focus on security is especially critical in vehicular networks due to the involvement of human lives. This article introduces the Misbehavior Detection Framework (MDF) used in the Cooperative Intelligent Transport Systems community, which aims to detect malicious entities on the roads through consistency and local plausibility checks conducted by Intelligent Transport System Stations. The article emphasizes the logic behind the proposed framework, evaluates Machine Learning-based models, and achieves the best results based on various parameters.
Article
Chemistry, Analytical
Shuo Li, Simon Edwards, Memduh Ozer Isik, Yanghanzi Zhang, Philip T. Blythe
Summary: Urbanization in Europe is increasing rapidly, leading to challenges of traffic congestion, road accidents, air pollution, and greenhouse gas emissions. Cooperative intelligent transport systems (C-ITS) have been developed to address these issues, with the European Commission playing a significant role in promoting their deployment. This study focuses on qualitatively examining C-ITS deployment from the stakeholder perspective, providing valuable insights for future large-scale deployment.
Article
Engineering, Electrical & Electronic
Jiakuo Zuo, Yuanwei Liu, Naofal Al-Dhahir
Summary: This paper focuses on the downlink of RIS-assisted cooperative CNOMA systems and proposes both high-complexity optimal and low-complexity suboptimal algorithms to minimize total transmit power. The numerical results demonstrate the superior performance of the proposed system and algorithms.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Civil
Zhihan Lv, Yuxi Li, Hailin Feng, Haibin Lv
Summary: The study aims to enhance the security performance of digital twins in the Cooperative Intelligent Transportation System in a deep learning environment. By combining Convolutional Neural Network with Support Vector Regression, a model is constructed and analyzed through simulation experiments. Results show that the proposed algorithm has significant advantages in security performance and data transmission speed.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Shiyao Zhang, Xingzheng Zhu, Shuai Wang, James J. Q. Yu, Derrick Wing Kwan Ng
Summary: Autonomous vehicles are a crucial component of modern smart cities and can enhance the quality of public services through coordinated operations. This article develops an urban intelligent system that utilizes efficient incentive mechanisms to motivate autonomous vehicles to provide logistic and charging services in cities.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Civil
Usman Ahmed, Gautam Srivastava, Youcef Djenouri, Jerry Chun-Wei Lin
Summary: Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation systems and can provide various benefits such as safety, sustainability, efficiency, communication, and cooperation. This research proposes a method for outlier detection through trajectory deviation point embedding and deep clustering, which captures structural identity and achieves improved F-measure compared to generic methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Mathematics
Vladimir Shepelev, Sultan Zhankaziev, Sergey Aliukov, Vitalii Varkentin, Aleksandr Marusin, Alexey Marusin, Aleksandr Gritsenko
Summary: This study proposes a method to predict the release time of vehicles passing controlled intersections using neural networks and object trackers, reducing stops by optimizing speed modes. The technique allows for transmitting predicted delay times through V2X communication locally and through HAV-the Digital Road Model in horizontally scaled mode.
Article
Engineering, Civil
Nishanthi Dasanayaka, Yanming Feng
Summary: Cooperative-Intelligent Transportation System (C-ITS) safety applications rely on reliable location information exchanged by road users. This study analyzes the degradation of location prediction accuracy based on prediction intervals and state estimate errors. Results show that GNSS/RTK positioning is crucial for accurate predictions, while GNSS/INS receivers can maintain smaller prediction errors within a 2-second interval.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Ming Yang, Shuang Wei, Rongwang Jiang, Faizan Ali, Boxiong Yang
Summary: The paper proposes a single-message cooperative authentication scheme for vehicular ad-hoc networks based on certificateless signatures, where a small number of vehicles verify the signature of a new message and construct evidence for rapid and secure message verification. The scheme achieves a balance between authentication delay and total computational cost.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Civil
Gunasekaran Manogaran, Ibrahim Alrayes, Amani Alshaikhi, Danda B. Rawat
Summary: This study addresses traffic data management congestion using sixth-generation communication and computing techniques. A prediction-based learning model is proposed for traffic data allocation, reducing the outage and congestion factors.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Telecommunications
Tejasvi Alladi, Varun Kohli, Vinay Chamola, F. Richard Yu
Summary: With the increase in connectivity and data in the Internet of Vehicles, there is a need for more secure and intelligent intrusion detection techniques. This research proposes three deep learning-based classification schemes for detecting misbehavior in vehicular networks. The classifiers achieve high accuracy in identifying different vehicular behavior types. The proposed scheme is compared with existing studies in terms of prediction performance and time.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Article
Automation & Control Systems
Lu Yin, Qiang Ni, Zhongliang Deng
Summary: This paper proposes a novel intelligent cooperative multisensor localization method, ECCL, which combines range and angle observations from neighbor nodes with location observations from absolute coordinate systems, achieving high reliability and accuracy. The proposed ECCL scheme outperforms other schemes in outlier detection and localization accuracy, making it suitable for Internet of Things applications.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
