Informational Technology, Geospatial Information, and Advanced Computing
TRB’s Transportation Research Record: Journal of the Transportation Research Board, No. 2595 consists of 15 papers that explore informational technology, geospatial information, and advanced computing, including:
- Genetic Algorithm and Regression-Based Model for Analyzing Fare Payment Structure and Transit Dwell Time
- Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit
- Pothole Detection Based on the Features of Intensity and Motion
- Multiresolution Change Analysis Framework for Postdisaster Assessment of Natural Gas Pipeline Risk
- Geospatially Enabled Database for Analyzing Traffic Injuries in San Francisco, California
- Improved Identification and Calculation of Horizontal Curves with Geographic Information System Road Layers
- Integrating Global Navigation Satellite System and Road-Marking Detection for Vehicle Localization in Urban Traffic
- Fuzzy C-Means Image Segmentation Approach for Axle-Based Vehicle Classification
- Hazard-Based Model for Estimation of Congestion Duration in Urban Rail Transit Considering Loss Minimization
- Temporal Tracking of Congested Partitions in Dynamic Urban Road Networks
- Estimation of Link Speed Distribution from Probe Vehicle Data
- Diagnosis and Prediction of Traffic Congestion on Urban Road Networks Using Bayesian Networks
- Comparison of Supervised Classification Techniques for Vision-Based Pavement Crack Detection
- Nonhomogeneous Time Mixed Integer Linear Programming Formulation for Traffic Signal Control
- Genetic Algorithm–Based Approach for Optimal Deployment of Roadside Units in Connected and Automated Vehicle Environments
This Summary Last Modified On: 9/23/2016