Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach by Senyan Yang, Lianju Ning, Xilong Cai, Mingyu Liu

“…The potential information and regularity of traffic state evolution can be extracted from the huge traffic flow time series data and applied to intelligent transportation systems. This study proposes a dynamic spatiotemporal causality modeling approach to analyze traffic causal relationships for the large-scale road network. …”
Get full text

An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. However, existing methods are deficient in modeling long series spatio-temporal characteristics. …”
Get full text

Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting by Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei

“…Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic safety hazards. …”
Get full text

Network Digital Twin Toward Networking, Telecommunications, and Traffic Engineering: A Survey by Reza Poorzare, Dimitris N. Kanellopoulos, Varun Kumar Sharma, Poulami Dalapati, Oliver P. Waldhorst

“…Telecommunications, along with traffic engineering as one of its critical components, play a prominent role across various networking domains, including Internet service providers, data centers, cellular networks, intelligent transportation systems, and smart cities. In this context, NDT has the potential to serve as a key enabler for optimizing these domains by providing a digital framework, which can facilitate the evaluation and enhancement of different scenarios. …”
Get full text

Research on wireless access technologies for Internet of things by Jianchi ZHU, Bei YANG, Peng CHEN, Xiaoming SHE, Qi BI

“…Mobile Internet and Internet of things (IoT) are two major driving forces for the future development of mobile communications and will provide broad prospects for 5G.IoT expands the range of mobile communications services,evolving from “Internet of people” to “Internet of everything”.5G IoT scenarios include low-power massive-connections and low-latency high-reliability.Low-power massive-connections scenario has the characteristics of small data packets,low power consumption,mass connections.It not only requires the network to have the ability to support over a hundred billion connections,but also ensures the terminal’s ultra-low power consumption and ultra-low cost.Low-latency high-reliability scenario is primarily for applications,such as Internet of vehicle,autonomous driving,industrial control and remote medical.Such applications requires extremely high requirements on latency and reliability.They require to provide millisecond-level end-to-end latency and be close to 100% service reliability.Firstly,the technologies for low-power massive-connections scenario were introduced,including LoRa (long range wide area network) and SigFox operating on unlicensed spectrum and EC-GSM (extended coverage-GSM),LTE-M and NB-IoT (narrow band Internet of things) operating on licensed spectrum.Then,an overview of service requirements and performance metrics for ultra-reliable low latency communications was presented.Finally,the development of ITS (intelligent transport system) technologies for both 3GPP V2X (vehicle-to-everything) and IEEE DSRC (dedicated short range communication) standards was described.…”
Get full text

Anonymous group key distribution scheme for the internet of vehicles by Zhiwang HE, Huaqun WANG

“…Vehicular ad hoc networks (VANET) play a crucial role in intelligent transportation systems by providing driving information and services such as collision prevention and improved traffic efficiency.However, when a trusted third party (TTP) interacts with a vehicle in VANET, it can be vulnerable to security threats like eavesdropping, tampering, and forgery.Many existing schemes rely heavily on TTP for key negotiation to establish session keys and ensure session security.However, this over-reliance on TTP can introduce a single point of failure and redundancy issues when TTP sends the same information to multiple vehicles.Additionally, key negotiation methods used for creating group session keys often result in increased interaction data and interaction times.An anonymous group key distribution scheme for the internet of vehicles was proposed to address these challenges.The Road Side Units (RSUs) were used to facilitate the creation of group session keys among multiple vehicles.Identity-based public key cryptography and an improved multi-receiver encryption scheme were utilized for communication between RSUs and vehicles, enabling two-way authentication and secure distribution of group session keys.During the key distribution process, a single encryption operation was sufficient to allow all group members to obtain a consistent session key.This reduced the reliance on TTP for authentication and group communication.Formal security proofs demonstrate that the proposed scheme satisfies basic security requirements.Furthermore, performance analysis and comparisons indicate that this scheme offers lower computational overhead and communication overhead compared to similar schemes.…”
Get full text

Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

Get full text

A Novel Real Time Framework for Cluster Based Multicast Communication in Vehicular Ad Hoc Networks by Waqar Farooq, Muazzam Ali Khan, Saad Rehman

“…In a vehicular ad hoc network (VANET), the vehicles communicate with each other to develop an intelligent transport system (ITS) which provides safety and convenience while driving. …”
Get full text

MVR Delay: A Queueing Based Routing Model for C-V2X Mode 4 in VANET’s by Mahabaleshwar Kabbur, M. Vinayaka Murthy

“…During the last few years, the demand for vehicular ad-hoc networks (VANET) has gained great attraction in the intelligent transport system. The VANET architecture includes several critical features, such as distributed networking and the rapidly changing network topology. …”
Get full text

Unifying spatiotemporal and frequential attention for traffic prediction by Qi Guo, Qi Tan, Jun Tang, Benyun Shi

“…Abstract Intelligent transportation systems heavily rely on forecasting urban traffic flow, and a variety of approaches have been developed for this purpose. …”
Get full text

Particle Swarm Optimization-Based Content Delivery Protocol for UAV VAENTs by Yongje Shin, Hyun-Seok Choi, Youngju Nam, Euisin Lee

“…As the capabilities of mobile devices and mobile communication techniques expand, vehicular ad hoc networks (VANETs) play an increasingly significant role in transportation and traffic management, particularly in Intelligent Transportation Systems (ITS). However, the rapid topology changes, high vehicle mobility, and frequent link disconnections make routing in VANETs a challenging task, necessitating the development of efficient routing protocols. …”
Get full text

An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

“…Traffic flow prediction is a pivotal element in Intelligent Transportation Systems (ITSs) that provides significant opportunities for real-world applications. …”
Get full text

Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…This review paper presents an in-depth analysis of deep learning (DL) models applied to traffic scene understanding, a key aspect of modern intelligent transportation systems. It examines fundamental techniques such as classification, object detection, and segmentation, and extends to more advanced applications like action recognition, object tracking, path prediction, scene generation and retrieval, anomaly detection, Image-to-Image Translation (I2IT), and person re-identification (Person Re-ID). …”
Get full text

An Efficient Traffic Incident Detection and Classification Framework by Leveraging the Efficacy of Model Stacking by Zafar Iqbal, Majid I. Khan, Shahid Hussain, Asad Habib

“…Automatic incident detection (AID) plays a vital role among all the safety-critical applications under the parasol of Intelligent Transportation Systems (ITSs) to provide timely information to passengers and other stakeholders (hospitals and rescue, police, and insurance departments) in smart cities. …”
Get full text

A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network by Ming Jiang, Zhiwei Liu, Yan Xu

“…Abstract Traffic prediction plays an increasingly important role in intelligent transportation systems and smart cities. Both travelers and urban managers rely on accurate traffic information to make decisions about route selection and traffic management. …”
Get full text

Investigating the Impact of the COVID-19 Pandemic on Travel Mode Choice Behaviour – A Stated Preference Case in Wuhan, China by Xin DOU, Xiaofeng PAN, Tao FENG

Get full text

An Expository Examination of Temporally Evolving Graph-Based Approaches for the Visual Investigation of Autonomous Driving by Li Wan, Wenzhi Cheng

“…It provides a reference for advancing intelligent transportation systems and their integration with autonomous driving technologies.…”
Get full text

A Design Method of Inland River Channel Based on Hydrodynamic Response of Ship by ZHANG Lei, FENG Shaoxiong, TAN Kun, GUO Tao, SONG Chengguo, CHU Xiumin, MIAO Yang

Get full text

Social-aware routing for cognitive radio–based vehicular ad hoc networks by Jing Wang, Huyin Zhang, Xing Tang, Sheng Hao

“…Cognitive radio–based vehicular ad hoc networks can solve the problem of limited spectrum resource and growing vehicular communication service demands in intelligent transportation systems, and thus, it receives much concern recently. …”
Get full text

MVR: Synergizing Large and Vision Transformer for Multimodal Natural Language-Driven Vehicle Retrieval by Tareq Mahmod AlZubi, Umar Raza Mukhtar

“…In recent years, intelligent transportation systems have played a pivotal role in the development of smart cities, with vehicle retrieval becoming a critical component of traffic management and surveillance. …”
Get full text