Multi-agent driven collaborative decision mechanism of information fusion for autonomous driving vehicles by Jiayu CAO, Supeng LENG, Ke ZHANG

“…Autonomous vehicles play an important part in intelligent transportation systems.In these vehicles,driving control decision is obtained based on the collection of massive traffic states and intensive information processing.However,the spatial-temporal characteristics of the traffic states and the constrained environmental perception range of an individual vehicle seriously undermine the effectiveness of the state collection.Multi-agent driven collaborative decision provides a potential approach to address the problem.A multi-dimensional information fusion mechanism was proposed,which improved the gain of vehicular information fusion for autonomous driving tasks.Moreover,an intelligent distributed decision algorithm was designed for autonomous driving applications,which maximized the road traffic flow while maximizing the gain of information fusion on the autonomous driving mission under vehicular cost and resource constraints.Numerical results demonstrate the convergence and practicability of the proposed algorithm.…”
Get full text

Performance evaluation of 5G cellular vehicle networks by Jun WANG, Xiaodong JI, Xinran ZHANG, Xiaoran WEN, Jiajun TONG

“…Cellular vehicle networks (C-V2X) is one of the key technologies of intelligent transportation systems.Ve-hicles exchange information with surrounding information entities in real time to ensure traffic safety and improve traffic efficiency,which meets the basic demands of V2X communication.Besides,it will be applied to automatic driving,assisting driving and other advanced scenarios in the NR-V2X scene.5G-V2X system-level simulation plat-form was developed through opnet.For different application scenarios,coverage performance of 5G C-V2X was analyzed based on simulation results,and suggestions for improvement were given,which has important directive to production practices for the research and system deployment of 5G-V2X.…”
Get full text

Penerapan Metode K-Means Berbasis Jarak untuk Deteksi Kendaraan Bergerak by Yuslena Sari, Andreyan Rizky Baskara, Puguh Budi Prakoso

“… Deteksi kendaraan bergerak adalah salah satu elemen penting dalam aplikasi Intelligent Transport System (ITS). Deteksi kendaraan bergerak juga merupakan bagian dari pendeteksian benda bergerak. …”
Get full text

The Applications and Prospects of Large Language Models in Traffic Flow Prediction by Liu Yuxuan

“…Predicting traffic flow is crucial for the functionality of intelligent transportation systems. It is of critical importance to relieve traffic pressure, reduce accident rates, and alleviate environmental pollution. …”
Get full text

What’s going on at the bus stop? The impact of Auckland’s real time passenger information system on patrons timespace perceptions by Phillipa Mitchell

“…The emergence of Intelligent Transport Systems provides an interesting new lens through which to investigate individuals’ perceptions and constitution of time and space. …”
Get full text

Sidelink communication technology enhancement and standardization evolution for C-V2X by ZHAO Rui, WEN Xiaoran, ZHENG Shilei, ZHOU Xiaoxing, XI Yifan, LIU Yanqiang, HU Jinling

“…With the rapid development of intelligent transportation systems, sidelink communication technology for cellular vehicle-to-everything (C-V2X) has become the key technology to enable vehicle-to-vehicle, vehicle-to-infrastructure, and vehicle-to-pedestrian communications. 3rd Generation Partnership Project (3GPP) has finished research on sidelink communication technology enhancement, aiming to meet the diverse needs of V2X services, and is actively advancing research and standardization on 6G evolution technologies such as integrated sensing and communication (ISAC), artificial intelligence and machine learning (AI/ML). …”
Get full text

Improved coordinate attention network for classification of dangerous driving behavior by Wen Ni, Lufeng Bai

“…With the rise of traffic accidents caused by unsafe driving behaviors, the accurate classification of these behaviors has become a pressing issue in intelligent transportation systems. Traditional methods such as AlexNet and VGG, while effective for general image recognition tasks, fail to capture the complex and subtle features necessary for recognizing dangerous driving behaviors. …”
Get full text

Vehicle Routing and Scheduling of Flex-Route Transit under a Dynamic Operating Environment by Yue Zheng, Liangpeng Gao, Wenquan Li

“…First, we discuss the new operating polices after the introduction of intelligent transportation systems (ITSs), including automatic vehicle location (AVL) system, mobile data terminal (MDT), and computer-aided dispatch (CAD) system. …”
Get full text

Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting by Youssef Nait Malek, Mehdi Najib, Mohamed Bakhouya, Mohammed Essaaidi

“…Speed forecasting has numerous applications in intelligent transport systems’ design and control, especially for safety and road efficiency applications. …”
Get full text

Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network by Xiang Yin, Junyang Yu, Xiaoyu Duan, Lei Chen, Xiaoli Liang

“…Abstract Short-term traffic forecasting is an important part of intelligent transportation systems. Accurately predicting short-term traffic trends can avoid traffic congestion and plan travel routes, which is of great significance to urban management and traffic scheduling. …”
Get full text

Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm by Xingsi Xue, Haolin Wang, Jie Zhang, Yikun Huang, Mengting Li, Hai Zhu

“…The development of intelligent transportation systems (ITSs) faces the challenge of integrating data from multiple unrelated sources. …”
Get full text

Taxi Efficiency Measurements Based on Motorcade-Sharing Model: Evidence from GPS-Equipped Taxi Data in Sanya by Jiawei Gui, Qunqi Wu

“…To unlock the potential of Internet of Vehicles (IoV) in Intelligent Transportation Systems (ITS), it was vital to make efficiency measurements. …”
Get full text

A Multi-Objective Path-Planning Approach for Multi-Scenario Urban Mobility Needs by Zhaohui Wang, Meng Zhang, Shanqing Liang, Shuang Yu, Chengchun Zhang, Sheng Du

“…With the development of smart cities and intelligent transportation systems, path planning in multi-scenario urban mobility has become increasingly complex. …”
Get full text

Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases by Sandra Roger, Carmen Botella-Mascarell, David Martin-Sacristan, David Garcia-Roger, Jose F. Monserrat, Tommy Svensson

“…In this context, intelligent transportation systems, including connected and autonomous vehicles, will be key for developing affordable and sustainable infrastructures and services. …”
Get full text

A Multimode Dynamic Short-Term Traffic Flow Grey Prediction Model of High-Dimension Tensors by Huiming Duan, Xinping Xiao

“…Short-term traffic flow prediction is an important theoretical basis for intelligent transportation systems, and traffic flow data contain abundant multimode features and exhibit characteristic spatiotemporal correlations and dynamics. …”
Get full text

Urban Traffic Flow Forecast Based on FastGCRNN by Ya Zhang, Mingming Lu, Haifeng Li

“…Traffic forecasting is an important prerequisite for the application of intelligent transportation systems in urban traffic networks. The existing works adopted RNN and CNN/GCN, among which GCRN is the state-of-the-art work, to characterize the temporal and spatial correlation of traffic flows. …”
Get full text

Studying the Simultaneous Effect of Autonomous Vehicles and Distracted Driving on Safety at Unsignalized Intersections by Mohammad Khashayarfard, Habibollah Nassiri

“…With the rapid advancements in automation technologies, transportation planners have strived to use Intelligent Transportation Systems (ITS) to minimize human error. …”
Get full text

Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

“…The integration of orthogonal time frequency space signals into integrated sensing and communication systems has emerged as a highly promising approach for constructing intelligent transportation systems. Among these advancements, beamforming prediction techniques that incorporate multiple-input multiple-output technology have gained widespread attention. …”
Get full text

Space-Time Hybrid Model for Short-Time Travel Speed Prediction by Qi Fan, Wei Wang, Xiaojian Hu, Xuedong Hua, Zhuyun Liu

“…Short-time traffic speed forecasting is a significant issue for developing Intelligent Transportation Systems applications, and accurate speed forecasting results are necessary inputs for Intelligent Traffic Security Information System (ITSIS) and advanced traffic management systems (ATMS). …”
Get full text

An Integrative Approach to Accurate Vehicle Logo Detection by Hao Pan, Bailing Zhang

“…Vehicle logo detection from images captured by surveillance cameras is an important step towards the vehicle recognition that is required for many applications in intelligent transportation systems and automatic surveillance. The task is challenging considering the small target of logos and the wide range of variability in shape, color, and illumination. …”
Get full text