01220491

Monograph

This issue contains 11 papers that address statistical methods and visualization research for transportation. Specific topics discussed include the following: modeling injury severity of multiple occupants of vehicles; methods to estimate crash counts by collision type; spatial correlation in multilevel crash frequency models; predicting rear-end crashes at unsignalized intersections; using incident management data to identify hot spots; regression to the mean in before-and-after speed data analysis; continuous logit for departure time choice with Bayesian methods; Gaussian processes for short-term traffic volume forecasting; spiral graph for transportation system data visualization; integration of traffic simulation into design visualization; and combined effect of traffic and geometrics on rear-end collision risk.

English

111p

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309142977

Print

Figures; References; Tables

Crash types; Departure time; Estimating; Geometric design; High risk locations; Injury severity; Logits; Mathematical models; Mathematical prediction; Rear end crashes; Speed; Statistical analysis; Traffic forecasting; Traffic simulation; Unsignalized intersections; Vehicle occupants; Visualization

Gaussian processes; Transportation data

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I73: Traffic Control; I80: Accident Studies

TRIS, TRB, ATRI

Oct 28 2010 8:22AM

• Combined Effect of Traffic and Geometrics on Rear-End Collision Risk: Driving Simulator Study
• Empirical Investigation of Continuous Logit for Departure Time Choice with Bayesian Methods
• Examination of Methods to Estimate Crash Counts by Collision Type
• Gaussian Processes for Short-Term Traffic Volume Forecasting
• Getis–Ord Spatial Statistics to Identify Hot Spots by Using Incident Management Data
• Integration of Traffic Simulation into Design Visualization: Case Study
• Investigating Regression to the Mean in Before-and-After Speed Data Analysis
• Leverage of Spiral Graph for Transportation System Data Visualization
• Modeling Injury Severity of Multiple Occupants of Vehicles: Copula-Based Multivariate Approach
• Multiple Applications of Multivariate Adaptive Regression Splines Technique to Predict Rear-End Crashes at Unsignalized Intersections
• Spatial Correlation in Multilevel Crash Frequency Models: Effects of Different Neighboring Structures