yusuke1997/dblp-id-title huggingface dataset:
The Exploitation of Vehicle-to-Grid Function for Power Quality Improvement in a Smart Grid
RoadCapsFPN: Capsule Feature Pyramid Network for Road Extraction From VHR Optical Remote Sensing Imagery
Multi-Robot Source Location of Scalar Fields by a Novel Swarm Search Mechanism With Collision/Obstacle Avoidance
The Concept of Stimuli-Induced Equilibrium Point and Its Application in Ramp-Merging Control
Vulnerability Assessment of Charging Stations in the Electrified Road Network
A Hierarchical MPC Approach for Arriving-Phase Operation of Virtually Coupled Train Set
A Binary Borg-Based Heuristic Method for Solving a Multi-Objective Lock and Transshipment Co-Scheduling Problem
Integrating Model Predictive Control With Federated Reinforcement Learning for Decentralized Energy Management of Fuel Cell Vehicles
Mastering Arterial Traffic Signal Control With Multi-Agent Attention-Based Soft Actor-Critic Model
A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning
Modeling, Relocation, and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri Nets Framework
A Deep Analysis of Visual SLAM Methods for Highly Automated and Autonomous Vehicles in Complex Urban Environment
An Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of Connected and Automated Vehicles
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions
Dead Zone Mitigation in Vehicular Platoon via Solar Panel as a Communication Receiver
Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil
Aspect-Driven User Preference and News Representation Learning for News Recommendation
Stochastic Demand Dynamic Traffic Models Using Generalized Beta-Gaussian Bayesian Networks
Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a Sampling and an Optimization Method
A self-describing data transfer model for ITS applications
A DeepFM-Based Non-Parametric Model Enabled Big Data Platform for Predicting Passenger Car Sales in Sustainable Way
Enhanced Few-Shot Learning for Intrusion Detection in Railway Video Surveillance
Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering
Fault-Tolerant Cooperative Positioning Based on Hybrid Robust Gaussian Belief Propagation
Hierarchical Reinforcement Learning Shared Steering Control Strategy Considering Driver-Vehicle-Road Risk Assessment
A New Framework of Vehicle Collision Prediction by Combining SVM and HMM
Exploring the Impact of the Takeover Time for Conditionally Automated Driving Vehicles on Traffic Flow in Highway Merging Area
The Process of Information Propagation Along a Traffic Stream Through Intervehicle Communication
Distributed Model Predictive Control for Vehicle Platoon With Mixed Disturbances and Model Uncertainties
Tensor Extended Kalman Filter and its Application to Traffic Prediction
Improving Productivity of Low-Altitude Airspace: Speed vs Direction Control
Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection
RPAU: Fooling the Eyes of UAVs via Physical Adversarial Patches
Adaptive Speed Optimization Strategy at Signalized Intersections Based on the Penetration Rate of Connected Automated Vehicles
Nonlinear Constraint Network Optimization for Efficient Map Learning
Generic Representation Learning for Vehicle Association Guided by Foundational Models
Generating G 2 Continuity Reference Paths for Autonomous Vehicles at Roundabouts
Preserving Location-Privacy in Vehicular Networks via Reinforcement Learning
Traveler Centric Trip Planning: A Behavioral-Driven System
GaDQN-IDS: A Novel Self-Adaptive IDS for VANETs Based on Bayesian Game Theory and Deep Reinforcement Learning
Urban Surface and Air Mobility Control: A Microsimulation Integrating Intelligent Fly-Drive Vehicles Into Surface Traffic
Short-Term Traffic Flow Prediction: An Integrated Method of Econometrics and Hybrid Deep Learning
Short-Term Traffic Flow Forecasting: A Component-Wise Gradient Boosting Approach With Hierarchical Reconciliation
Neural Adaptive Fault Tolerant Control for High Speed Trains Considering Actuation Notches and Antiskid Constraints
AGC-ODE: Adaptive Graph Controlled Neural ODE for Human Mobility Prediction
Monocular Road Terrain Detection by Combining Visual and Spatial Information
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction
Vibration-Theoretic Approach to Vulnerability Analysis of Nonlinear Vehicle Platoons
A Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System
Tracking Control for High-Speed Train With Coupler Constraints
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid
A Roadside Decision-Making Methodology Based on Deep Reinforcement Learning to Simultaneously Improve the Safety and Efficiency of Merging Zone
Task Offloading and Resource Allocation in Vehicular Cooperative Perception With Integrated Sensing, Communication, and Computation
Dynamic Event-Triggered Adaptive Neural Output Feedback Control for MSVs Using Composite Learning
RBFNN-Based Data-Driven Fast Terminal Sliding Mode Control of Nonlinear Multiagent Systems With Application to Subway Trains
REER-H: A Reliable Energy Efficient Routing Protocol for Maritime Intelligent Transportation Systems
A New Approach for Co-Operative Bus Priority at Traffic Signals
Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity
Characterization, Analysis, and Modeling of the Non-Stationary V2I Channel at 28-GHz on Highways
Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations
A study of aircraft taxi performance for enhancing airport surface traffic control
Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction
Unequal Dimension Track-to-Track Fusion Approaches Using Covariance Intersection
Vertical-Lateral Coupled Dynamic Model for Integrated Propulsion, Levitation and Guidance Superconducting EDS Train
Robust Wheel Torque Control for Traction/Braking Force Tracking Under Combined Longitudinal and Lateral Motion
Estimation of Vehicular Journey Time Variability by Bayesian Data Fusion With General Mixture Model
A MPTCP-Based Network Architecture for Intelligent Train Control and Traffic Management Operations
Accelerating Resource-Constrained Swarm Robotics With Cone-Based Loop Closure and 6G Communication
Obstacle Detection and Tracking for the Urban Challenge
On Stochastic Analysis of Greedy Routing in Vehicular Networks
Spatial Contiguity-Constrained Hierarchical Clustering for Traffic Prediction in Bike Sharing Systems
Fuzzy-Neural Intelligent Control With Fixed-Time Pre-Configured Qualities for Electromechanical Dynamics of Electric Vehicles Motors
Assessing the Effectiveness of a Dynamic Driving Simulator for ADAS Development - A Back-to-Back Subjective Validation Study on Lateral Guidance Systems
Performance Evaluation of UHF RFID Technologies for Real-Time Passenger Recognition in Intelligent Public Transportation Systems
EPQ-GAN: Evolutionary Perceptual Quality Assessment Generative Adversarial Network for Image Dehazing
A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
Can Virtual Samples Solve Small Sample Size Problem of KISSME in Pedestrian Re-Identification of Smart Transportation?
An Online Multiobject Tracking Network for Autonomous Driving in Areas Facing Epidemic
A More Balanced Loss-Reweighting Method for Long-Tailed Traffic Sign Detection and Recognition
Distributed Global Composite Learning Cooperative Control of Virtually Coupled Heavy Haul Train Formations
Real-Time Performance-Focused Localization Techniques for Autonomous Vehicle: A Review
An Evolutionary Game of Perception-Based Stochastic User-Equilibrium in a Parallel Network
A Multiclass User Equilibrium Model Considering Overtaking Across Classes
Feed-Forward ALINEA: A Ramp Metering Control Algorithm for Nearby and Distant Bottlenecks
Real-Time Feedback Impacts on Eco-Driving Behavior and Influential Variables in Fuel Consumption in a Lisbon Urban Bus Operator
Enhancing Cooperation of Vehicle Merging Control in Heavy Traffic Using Communication-Based Soft Actor-Critic Algorithm
Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep Learning Approach using Psychological Behavioral Data
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction
Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management
Synthesis of Robust Lane Keeping Systems: Impact of Controller and Design Parameters on System Performance
Machine Learning for UAV-Aided ITS: A Review With Comparative Study
T2BR: A Hierarchical Repositioning Approach for Autonomous Mobility on Demand Systems
A Queuing Model and Capacity Analysis for Reservation-Based Autonomous Intersection
Collision Avoidance Based on Stochastic Model Predictive Control in Collaboration Between ROV and AUV
Traffic Signal Self-Organizing Control With Road Capacity Constraints
JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems
A Formation Autonomous Navigation System for Unmanned Surface Vehicles With Distributed Control Strategy
Real-Time Multipedestrian Tracking in Traffic Scenes via an RGB-D-Based Layered Graph Model
KFDNNs-Based Intelligent INS/PS Integrated Navigation Method Without Statistical Knowledge
Toward City-Scale Vehicular Crowd Sensing: A Decentralized Framework for Online Participant Recruitment
RTMDet-R: A Robust Instance Segmentation Network for Complex Traffic Scenarios
Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing
Team Halmstad Approach to Cooperative Driving in the Grand Cooperative Driving Challenge 2016
Speed Reduction Measure Based on Nudging Using Real-Time Vehicle Trajectory Acquisition With Thermal Cameras
An Enhanced NSGA-II for Solving Berth Allocation and Quay Crane Assignment Problem With Stochastic Arrival Times
Selective Imitation Enhanced Deep Reinforcement Learning for AAV Navigation and Obstacle Avoidance With Sparse Rewards
ECSNet: An Accelerated Real-Time Image Segmentation CNN Architecture for Pavement Crack Detection
An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant
An Efficient Real-Time Vehicle Monitoring Method
Post-Quantum Authentication Against Cyber-Physical Attacks in V2X-Based Autonomous Vehicle Platoon
DAPC: Answering Why-Not Questions on Top-k Direction-Aware ASK Queries in Polar Coordinates
Traffic Prediction With Missing Data: A Multi-Task Learning Approach
Driving Style Evaluation: Novel Comfort Scales for Urban Buses
Experimental Study of Static and Dynamic Loading Effects on Guided Wave-Based Intelligent Monitoring of Welded Rail Joints
Vehicle Detection Techniques for Collision Avoidance Systems: A Review
Task-Driven Controllable Scenario Generation Framework Based on AOG
Pothole 3D Reconstruction With a Novel Imaging System and Structure From Motion Techniques
Dynamic Pricing for Electric Vehicle Extreme Fast Charging
Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing
Oblivious Transfer for Privacy-Preserving in VANET's Feature Matching
Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition
Vehicle-Vehicle Channel Models for the 5-GHz Band
State-of-the-Art Pedestrian and Evacuation Dynamics
Automotive Radar Optimization Design in a Spectrally Crowded V2I Communication Environment
A Survey on Hybrid Human-Artificial Intelligence for Autonomous Driving
Self-Supervised Monocular Depth Estimation With Progressive Enhancement of Local-to-Global Visual Perception
Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles
A Pattern-Recognition Approach for Driving Skill Characterization
Connected and Autonomous Vehicles in Web3: An Intelligence-Based Reinforcement Learning Approach
A Novel Approach for Active Adhesion Control of High-Speed Trains Under Antiskid Constraints
Car4Pac: Last Mile Parcel Delivery Through Intelligent Car Trip Sharing
V2V Energy Trading Scheme Based on Collaborative Edge Computing and Lightning Network
Modified Quadratic Spacing Policy and Extended State Observer-Based Adaptive Platoon Tracking Scheme for Heterogeneous Vehicles
Adaptive Multi-Objective Predictive Cruise Control With Digital Map Using a Utopia Tracking Method
Monitoring Around a Vehicle by a Spherical Image Sensor
Research Collaboration and ITS Topic Evolution: 10 Years at T-ITS
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches
Detection and Classification of Traffic Anomalies Using Microscopic Traffic Variables
5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey
Stability of intersecting aircraft flows using heading-change maneuvers for conflict avoidance
Human-Machine Shared Control for Steer-by-Wire Vehicles Using Improved Reinforcement Learning-Based MPC
K-Means Clustering Approach to UAS Classification via Graphical Signal Representation of Radio Frequency Signals for Air Traffic Early Warning
A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks
Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor
Robust Global Localization for Urban Autonomous Vehicles via 3D Geometric-Enhanced Visual Place Recognition
Secure Content Delivery for Connected and Autonomous Trucks: A Coalition Formation Game Approach
A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones
Timetable Optimization for Regenerative Energy Utilization in Subway Systems
Calibration of Sparse LiDAR and Camera Based on Spatial Feature Analysis and Adaptive Constraints
CAMRL: A Joint Method of Channel Attention and Multidimensional Regression Loss for 3D Object Detection in Automated Vehicles
A Spatial-State-Based Omni-Directional Collision Warning System for Intelligent Vehicles
Progressive Latent Models for Self-Learning Scene-Specific Pedestrian Detectors
Multifeature Fusion-Based Object Detection for Intelligent Transportation Systems
Visual Object Tracking With Partition Loss Schemes
Learning Semantic Behavior for Human Mobility Trajectory Recovery
Robust Energy Management of High-Speed Railway Co-Phase Traction Substation With Uncertain PV Generation and Traction Load
Toward Adaptive and Coordinated Transportation Systems: A Multi-Personality Multi-Agent Meta-Reinforcement Learning Framework
Visual Tracking Based on Dynamic Coupled Conditional Random Field Model
A Survey on Deep Learning-Based Lane Detection Algorithms for Camera and LiDAR
Vehicular Ad Hoc Networks Topology Optimization for Autonomous Intersection Management System: A Periodic Intervention-Based Approach
A Reverse Auction-Based Individualized Incentive System for Transit Mobility Management
A car test for the estimation of GPS/INS alignment errors
Routing in Internet of Vehicles: A Review
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework
Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation
Real-Time Traffic Flow Prediction for 6G Enabled Intelligent Transportation System
A Novel Methodology to Assimilate Sub-Path Flows in Bi-Level OD Matrix Estimation Process
A Group-Based Multicast Service Authentication and Data Transmission Scheme for 5G-V2X
Quantify the Road Link Performance and Capacity Using Deep Learning Models
Energy-Efficient Train Scheduling and Rolling Stock Circulation Planning in a Metro Line: A Linear Programming Approach
Capacity Optimization and Allocation of Port Hybrid AC-DC Electric-Hydrogen Coupling System for Reduce Carbon Emissions
Spatio-Temporal Contrastive Learning-Based Adaptive Graph Augmentation for Traffic Flow Prediction
A Node-Based Modeling Approach for the Continuous Dynamic Network Loading Problem
Spatio-Temporal Feature Learning Fusion and Visual Scene Endpoint Prediction for Pedestrian Trajectory Prediction
Green Computing in Software Defined Social Internet of Vehicles
Network-Matched Trajectory-Based Moving-Object Database: Models and Applications
Modeling and Control of PRP-Gantry Crane Systems via Neural IDA-PBC
Vehicle Trajectory Estimation Using a High-Gain Multi-Output Nonlinear Observer
EV Traction Control Based on Nonlinear Observers Considering Longitudinal and Lateral Tire Forces
Design and Evaluation of Intervehicle Dissemination Protocol for Propagation of Preceding Traffic Information
Framework for Network-Constrained Tracking of Cyclists and Pedestrians
A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway
Predicting Risky Driving in a Connected Vehicle Environment
An Improved Modeling Method for Driving Risk by Considering Driver-Vehicle-Road Factors
High Adversarial Robustness Network: Adaptive Positional Encoding and Parallel Attention for Obstacle Recognition in Autonomous Driving
Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization
The Role of Artificial Intelligence in Shaping Intelligent Motorways: Opportunities, Challenges, and Real-World Implementations
Performance Analysis and Enhancement of WAVE for V2V Non-Safety Applications
A Switched Control Strategy of Heterogeneous Vehicle Platoon for Multiple Objectives With State Constraints
Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling
A Survey of Vehicular Cloud Research: Trends, Applications and Challenges
Agile Formation Control for Intelligent Swarm Systems With Guaranteed Collision Avoidance
Introduction to the Special Issue on Mechatronic and Embedded Systems and Applications in ITS
A Data-Driven Spatio-Temporal Speed Prediction Framework for Energy Management of Connected Vehicles
Ultrasonic vehicle detector for side-fire implementation and extensive results including harsh conditions
Longitudinal Platoon Control of Connected Vehicles: Analysis and Verification
Heterogeneous Machine Learning Ensembles for Predicting Train Delays
Cycle-Based End of Queue Estimation at Signalized Intersections Using Low-Penetration-Rate Vehicle Trajectories
Energy-Efficient Backscatter Aided Uplink NOMA Roadside Sensor Communications Under Channel Estimation Errors
Survey of Deep Learning for Autonomous Surface Vehicles in Marine Environments
An Interactive Prediction and Planning Method for Lane Change Trajectories
Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System
A Study on the Traffic Predictive Cruise Control Strategy With Downstream Traffic Information
Safe Route Mapping of Roadways Using Multiple Sourced Data
A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection
Bayesian Critique-Tune-based Reinforcement Learning With Adaptive Pressure for Multi-Intersection Traffic Signal Control
A Privacy Conserves Pseudonym Acquisition Scheme in Vehicular Communication Systems
Stochastic Approach for Short-Term Freeway Traffic Prediction During Peak Periods
Affordable, Autonomous, and Comprehensive Road Condition Assessment Using RGB-D Sensors: Enhancing Pavement Condition Evaluation
A Low-Cost Solution for Automatic Lane-Level Map Generation Using Conventional In-Car Sensors
Intelligent Game-Theoretic Approach for Resilient Robust Control Design of Cyber-Physical Systems: Application to Intelligent Transportation Systems
Ultra-Short-Term Load Power Forecasting Method of Urban Rail TPSS Based on Local Information Spatial-Temporal Features
Uncertainty Quantification Using Variance Inference Ensemble Network for Object Detection
Comprehensive Framework for Energy Consumption Estimation in Electric Vehicles
Iterative Learning Distributed Model Predictive Control for Autonomous Vehicle Platoons With Applications to Repetitive Tasks
Content Placement and Edge Collaborative Caching Scheme Based on Deep Reinforcement Learning for Internet of Vehicles
Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection
A Blind-Zone Detection Method Using a Rear-Mounted Fisheye Camera With Combination of Vehicle Detection Methods
A Reinforcement Learning-Based Decentralized Control Strategy for Eco-Safe Mixed Platooning With CAVs and HDVs
MetaTraj: Meta-Learning for Cross-Scene Cross-Object Trajectory Prediction
Energy-Sustainable Traffic Signal Timings for a Congested Road Network With Heterogeneous Users
Split-Delivery Capacitated Arc-Routing Problem With Time Windows
CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi Ride Sharing
Individualized Driving Intention Prediction With Inverse Reinforcement Learning
Resilience-Oriented Train Rescheduling Optimization in Railway Networks: A Mixed Integer Programming Approach
Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing
Cost-Efficient Edge Federated Learning Over Multiple Base Stations for the ITS Based on Connected and Autonomous Vehicles
A study on cyclist behavior at signalized intersections
Semantic Encoding Supervises LiDAR Semantic Segmentation
Airspace Collision Risk Hot-Spot Identification using Clustering Models
Continuous Car Driving Intent Detection Using Structural Pattern Recognition
Digital Twin-Based Driver Risk-Aware Predictive Mobility Analytics for Real-Time Situational Awareness Through Cooperative Sensing
Transferable Takagi-Sugeno-Kang Fuzzy Classifier With Multi-Views for EEG-Based Driving Fatigue Recognition in Intelligent Transportation
Combined Alternate-Direction Lane Assignment and Reservation-Based Intersection Control
Cooperative Driving With a Heavy-Duty Truck in Mixed Traffic: Experimental Results
Segmentation of Vehicles and Roads by a Low-Channel Lidar
Trajectory Planning for an Autonomous Vehicle in Spatially Constrained Environments
MTDA-STGCN: Modern Temporal and Dual-Attention-Based Spatiotemporal Graph Convolutional Network for 4D Trajectory Prediction
TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets
Intelligent Quantitative Safety Monitoring Approach for ATP Using LSSVM and Probabilistic Model Checking Considering Imperfect Fault Coverage
New Efficient Regression Method for Local AADT Estimation via SCAD Variable Selection
A Diffusion-TGAN Framework for Spatio-Temporal Speed Imputation and Trajectory Reconstruction
A User Study on the Capability of Three Geo-Based Features in Analyzing and Locating Trajectories
Detector of Electrical Discontinuity of Rails in Double-Track Railway Lines: Electronic System and Measurement Methodology
Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild
Short-Term Prediction of Urban Rail Transit Passenger Flow in External Passenger Transport Hub Based on LSTM-LGB-DRS
Local-Perception-Enhanced Spatial-Temporal Evolving Graph Transformer Network: Citywide Demand Prediction of Taxi and Ride-Hailing
An Exact A*-Based Tree Search Algorithm for TSP With Sequence-and-Load Dependent Risk
Vehicle Identification Via Sparse Representation
PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning
Depth-based target segmentation for intelligent vehicles: fusion of radar and binocular stereo
Cooperative Collision Avoidance at Intersections: Algorithms and Experiments
HFENet: Hybrid Feature Enhancement Network for Detecting Texts in Scenes and Traffic Panels
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers
Data-Driven Prescribed Performance Lane-Changing Control for Vehicle Platoons
STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic