Information Technology, Geospatial Information, and Advanced Computing
TRB’s Transportation Research Record: Journal of the Transportation Research Board, No. 2645 consists of 21 papers that explore information technology in transportation, including:
- Economic Feasibility Study for Pavement Monitoring Using Synthetic Aperture Radar-Based Satellite Remote Sensing: Cost–Benefit Analysis
- Hunt for Perfect Detection of Parking Occupancy: Evaluation of On-Street Technology and Its Ability to Address Urban Challenges
- Detection of Crack Growth in Asphalt Pavement Through Use of Infrared Imaging
- Application of Dempster–Shafer Data Fusion Technique in Support of Decision Making with Big Data
- Investigating Impacts of Communication Loss on Signal Performance with Use of Event-Based Data
- Data Processing Framework for Development of Driving Cycles with Data from SHRP 2 Naturalistic Driving Study
- Development and Application of an Ecodriving Support Platform Based on Internet+: Case Study in Beijing Taxicabs
- Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data
- Methodology for Calculating Latency of GPS Probe Data
- Data-Based Sorting Algorithm for Variable Message Sign Location: Case Study of Beijing
- Traffic Congestion Pattern Classification Using Multiclass Active Shape Models
- Optimized Video Tracking for Automated Vehicle Turning Movement Counts
- Automated Vehicle Recognition with Deep Convolutional Neural Networks
- Hidden Markov Approach to Dynamically Modeling Car Ownership Behavior
- Enhancing Relative Positioning Accuracy in Vehicle-to-Vehicle Safety: Multivehicle Kinematics and Nonlinear Particle Filtering Approach
- Novel Cooperative Collision Avoidance Model for Connected Vehicles
- Short-Term Traffic Flow Forecasting for Urban Roads Using Data-Driven Feature Selection Strategy and Bias-Corrected Random Forests
- Detecting Imminent Lane Change Maneuvers in Connected Vehicle Environments
- Evaluating the Promotion of Innovative Mobility Options with an Agent-Based Modeling and Simulation Approach
- Multicontextual Machine-Learning Approach to Modeling Traffic Impact of Urban Highway Work Zones
- Vehicle Trajectory Analysis System via Mutual Information and Sparse Reconstruction
This Summary Last Modified On: 1/15/2018