Advancements and Innovations in Smart Transportation

A Network-Based SI Model for Event Impact Propagation in Expressway Systems: The Greater Bay Area Case.- Information Provision for Alleviating Traffic Congestion: A Bi-level Approach.- Development of a MATSim-Based Simulation Platform for Shared Autonomous Vehicles (SAV) and Its Application in Supply-Demand Analysis.- Research on Driving Behavior and Directional Sign Settings in Expressway Exit Sections.- WMA-BiGRU-Pixel Attention: A Framework for High-Precision Traffic Flow Prediction.- A Scheme for Mitigating Holiday Congestion on Ramps of Interchange Overpasses.- Rule-Based Multi-Vehicle Lane-Changing Scenario Detection and Parameter Analysis in NDS Data.- Intelligent Traffic Signal Control Using Deep Learning.- Modeling Traffic Dynamics of Bidirectional Bicycle Flow.- Quantifying the Potential Modal Substitution of Ride-Hailing for Public Transit: A Utility-Based Approach in Shenzhen.- A Comprehensive Review of Demand Responsive Transit Research and Practice (2020-2025): Technological Approaches, Model Optimization, and Application.- Road Traffic Congestion Mitigation and Resilience Enhancement.- Asymmetric Congestion Management and Route Optimization at Toll Stations.- Long-Term Expressway Traffic Flow Prediction Model Based on Long Short-Term Memory Neural Network.- An Intelligent Bus Intersection Speed Guidance Model Based on Multi-objective Collaborative Optimization.- Research on the Speed Guidance Effect and Usage Intention of Connected Vehicles at Intersections Under Sparse Traffic Flow——Take Yili Modern Smart Health.- Research on Traffic Volume Prediction Based on the Improved GM (1,1)-LSTM Hybrid Model.- A Hybrid Suburban Railway Passenger Flow Prediction Model: Multi-Scale Causal Dilated Convolution with Spatio-Temporal Attention Network.- Research on Characteristics of Integrated Urban-Rural Passenger Transport Network Considering Travel Impedance.- Research on the Nonlinear Impact of Built Environment on Taxi Origin-destination Ridership.- A Hybrid Approach to Ride-Hailing Demand Prediction Using Temporal Correlation and Attention Mechanisms.- Applications of Large Language Models in Traffic Flow Prediction.- Bilevel Traffic Flow Control Model for Highway Network Based on Deep Reinforcement Learning Under Emergency Events.- Real-time Traffic Guidance for Congested Highway Network based on Macroscopic Fundamental Diagram.- INSGA-II for Multi-objective Intelligent Traffic Control: Fujian–Taiwan HSR Case Study.- Dedicated CAV Lanes on Expressway with On-Ramps: A Simulation-Based Evaluation.- Evaluation of Cross-Modal Data Fusion's Present Situation in Intelligent Transportation Applications.- Space-GAIN: A Framework for Deflection Data Restoration Based on Generative Adversarial Imputation Networks.- Experiments on Multi-UAV Path Planning Using DRL Based on Graph Neural Networks.- Deep Learning Prediction and the MassMotion Platform for Data-Driven Emergency Evacuation Simulation and Bottleneck Identification in Rail Transit Stations.- Development of Highway Interchange Throughput Model by Combination of UAV Data and Microscopic Traffic Simulation.- Odd-Even Grouping Strategy Based Adaptive Fuzzy System and Application of Trafficflow Prediction.- Forecasting Short-Term Passenger Flow in Urban Rail Transit: A Long Short-Term Memory Neural Network with Pearson-Based Feature Selection.- A Game-Theoretic Approach to Cooperative Lane Changing in Mobile Bottleneck Zones.- Research on Ubiquitous Perception Systems for Smart Highways in Complex Traffic Scenarios.- Predictive Imitation Learning Control for Autonomous Vehicles via Deep Neural Networks.- Adaptive Model for Short-term Passenger Flow Prediction in Urban Rail Transit Networks Based on Multi-modal Data Fusion.- Agent-Based MLLM for Intelligent Buoy Analysis on Edge Devices.- Research on Multi-source Data Fusion and Intelligent Identification Mechanism of Abnormal Operating Conditions in Rail Transit Systems.- Analysis of Pedestrian Crossing Patterns in Unsignalized Zebra Crossing Sections.- Detection of Road Debris on Highways Based on Improved YOLOv8-STAM-MFE and ByteTrack.- The Impact of Driver Behavior and Environmental Determinants on Fatal Traffic Accidents at Rural Intersections.- CISRA Dataset: Subjective Risk Assessment for Human-Driven and Automated Vehicles in Cut-In Scenarios.- Time Headway Prediction in Highway Merging Zones Based on Bi-LSTM-Attention.- Fatigue Monitoring for Metro Drivers via Multimodal Deep Learning.- Analysis of the Behavioral Factors of Two-wheeled Electric Vehicles Running Red Lights Based on Multivariate Logit Regression Analysis.- ForkSafeNet: A Real-Time Lightweight Object Detection Method for Forklift Driving Safety.- A Classification Framework for Road Traffic Risk in Icy and Snowy Environments.- Video-Based Machine Learning Approaches for Quantifying Pedestrian Safety in Traffic Intersections.- Safety Evaluation of Quasi-unattended Tunnel Management Systems Using Hierarchical Fuzzy Theory.- FDI Attack Detection of Unmanned Aerial Vehicles in Traffic Scenarios Integrating Kronecker Product.- Study on the Coupling Effect of Different Crowd Interaction Behaviors on Evacuation Efficiency in Subway Stations.- Identifying Driving Risk Considering Multiple Types of Risky Driving Behaviours Based on TKAN Model.- Bayesian Deep Reinforcement Learning for Autonomous Driving with Uncertain Pedestrian Intent.- Numerical Analysis and Composition Ratios Influence Crowds During Emergency Evacuations.- A Study on Differences in Driver Behavior and Risk Perception Under the Influence of Autonomous Vehicles Based on the Random Forest Algorithm.- Driver Keypoint Detection in Traffic Scenarios Based on Human Pose Estimation.- Research on Safe Decision-Making for Highway Scenario Autonomous Driving Based on Deep Reinforcement Learning.- Modeling Crash Risk at Freeway Interchanges Considering Dynamic Traffic Flow Characteristics.- Research on Prediction and Discrimination of Driving Risk Level Based on Extreme Value Theory.- Study on the Impact Characteristics of Slope Photovoltaic Facilities on Drivers' Visual Behavior Under Different Lighting Conditions.- Liability in Autonomous Vehicle Accidents: Decoding the Obligations of the Owner, Manufacturer, and Insurer Comparatively.- Data-driven Cause Analysis of Water Traffic Accidents.

• Erscheinungsdatum: 13.09.2026
• Autor/Autorin: Yanhui Wang
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 40.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 702 Seiten
• ISBN: 9789819235667
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.