Ausgabe 1/2025
Inhalt (42 Artikel)
Clustering Approach to Identifying and Analyzing the Traffic Conditions: A Novel Hybrid Cloud Density and Fuzzy Clustering Algorithm
Mahdi Banihosseini, Vahid Baradaran, Mohammad Hadi Doroudyan
Mathematical Model to Evaluate the Impact of Power Supply Constraint for Electric Vehicles on Transportation Network
- Open Access
Yuki Nakajima, Hiroshi Shimamoto
Designing and Developing a Model for Detecting Unusual Condition in Urban Street Network
Mani Hazeghi, Mahmoud Saffarzadeh, Babak Mirbaha
Multi Path Real-time Semantic Segmentation Network in Road Scenarios
Gao Pengfei, Tian Xiaolong, Liu Cuihong, Yang Chenfei
A LIDAR-based Traffic Data Classification Framework for Indian Urban Traffic
Prajwal Shettigar J, Arun K Tangirala, Lelitha Devi Vanajakshi
A Traffic Anomaly Detection Method Using Traffic Flow Vectors During Heavy Rainfall
- Open Access
Kensuke Hirata, Yosuke Kawasaki, Takahiro Yoshida
Predicting the Duration of Traffic Incidents for Sydney Greater Metropolitan Area using Machine Learning Methods
- Research Paper
Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska, Adriana-Simona Mihăiţă
Driving towards Sustainability: Understanding Drivers and Barriers in Adoption of Green Mobility
Rakesh Jha, Mukesh Kumar Singh
Counting Mixed Traffic Volumes at Motorcycle-Dominated Intersections by Using Computer Vision
Tam Vu, Hong Nam Thai, Viet Ngoc Pham, Huy Tuan Vu, Anh Tuan Luong, Thien Van Luong
Can Autonomous Vehicles Enhance Safety in Heterogeneous Disordered Traffic Conditions? A Simulation-based Exploratory Study
Rajkumari Fulwadiya, Udit Jain, Anshuman Sharma, Ankit Kathuria
Deep Q-learning Network-based Imbalanced Classification for Fatality Prediction of Single-Vehicle Motorcycle Crashes
- Open Access
- Research Paper
Dodi Zulherman, Jia Yang, Kosuke Shimizu, Yasunari Yokota
A Bayesian Method for Real-time Unsupervised Detection of Anomalous Road Vehicle Trajectories
Thinh Hoang Dinh, Vincent Martinez, Pierre Maréchal, Daniel Delahaye
Coupling Machine Learning and Visualization Approaches to Individual- and Road-level Driving Behavior Analysis in a V2X Environment
Xuantong Wang, Jing Li, Theo Canji, Tong Zhang
Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification
Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana-Simona Mihăiţă
Braking Detection and Prediction with Inter-vehicle Distance Estimated from Driving Videos
Hanwei Zhang, Shintaro Ono, Hiroshi Kawasaki
Generative AI and Online Learning Based Road Rage and Aggressive Driving Detection
Subramanian Arumugam, R. Bhargavi
Optimizing Road Networks: A Graph-Based Analysis with Path-finding and Learning Algorithms
Muthuvel P, Pandiyan G, Manickam S, Rajesh C
Edge Based Intelligent Secured Vehicle Filtering and Tracking System Using YOLO and EasyOCR
K. N. Apinaya Prethi, Satheeshkumar Palanisamy, S. Nithya, Ayodeji Olalekan Salau
Long Short Term Memory Based Traffic Prediction Using Multi-Source Data
- Open Access
Matti Leinonen, Ahmed Al-Tachmeesschi, Banu Turkmen, Nahid Atashi, Laura Ruotsalainen
Spatial Network-Wide Traffic Flow Imputation with Graph Neural Network
Sina Sabzekar, Rezvan Bahmani, Masoud Ghasemi, Zahra Amini
Dynamic Occupancy Rate for Shared Taxi Mobility-on-Demand Services through LSTM and PER-DQN
Ensiyeh Javaherian Pour, Mohammad Saadi Mesgari, Mahdi Farnaghi
Impact of Buffer Time on Driving Behavior in Level-3 Autonomous Vehicles
- Open Access
Abdu Arslanyilmaz, Todd Jones, Nicholas A. Labrie, Durmus V. Doner
Attitudes of Person at Driver’s Seat of Level 3–4 Automated Vehicle Affect Human Driver Entering Roadway
- Open Access
Hidehiro Saeki, Kazunori Shidoji
Simulation of Pedestrian Behaviour in Traffic Situations Using Risk-Based A* Pathfinding
- Open Access
Tobias Rinnert, Corinna Köpke, Antonio Kruse, Mirjam Fehling-Kaschek, Florian Lüttner, Alexander Stolz
Multi-sensor Fusion Perception of Vehicle Environment and its Application in Obstacle Avoidance of Autonomous Vehicle
Wenchao Li, Xiaohang Wan, Zhihao Ma, Yang Hu
Two-Tier Parallel Virtual Lattice Layers for Enhanced Efficiency in Video Traffic Management
Manipriya Sankaranarayanan, K. SivaSai
A Freight Truck Stopping Behavior Prediction Approach Based on Trajectory Dataset
Yikun Guo, Lianghua Li, Ziwei Sun, Jianwei Wang, Xin Fu
Qualitative and Quantitative Assessment of Public Minibus Taxi Driving
Nomfundo Cele, Alain Kibangou, Walter Musakwa
Real Time Implementation of Inter-Car Distance Based on an Intelligent Stereovision System for Autonomous Vehicles
Mohamed Sejai, Anass Mansouri, Saad Dosse Bennani, Yassine Ruichek
How do Regional Travelers Perceive Driverless Transit Services? Preliminary Insights from an Integrated Choice and Latent Variable Model
- Open Access
Anne S. Patricio, Gonçalo Gonçalves Duarte Santos, António Pais Antunes
Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model
- Open Access
Md. Ashraf Uddin, Nibir Hossain, Asif Ahamed, Md Manowarul Islam, Ansam Khraisat, Ammar Alazab, Md. Khabir Uddin Ahamed, Md. Alamin Talukder
Design and Analysis of Visual Vehicle Tracking System for Traffic Surveillance Using Deep Learning
Muhammad Amir Mohd Nazri, Fahmi Samsuri, Vigneswaran Narayanamurthy
ZST-CBTM: Trajectory and Motion Prediction of Autonomous Vehicles Using Advanced Deep Learning Model
Sushila Umesh Ratre, Bharti Joshi
Time-series Multivariate Multistep Traffic Flow Forecasting using Temporal Fusion Transformers
Saadman Sakif Arnob, Ali Abir Shuvro, Saadman Rahman, Md. Moniruzzaman, Md. Sakhawat Hossen