01552762

Monograph

This issue contains 15 papers concerned with urban and traffic data systems. Specific topics addressed include: a time-space diagram; using third-party data for travel demand modeling; calibration of a rail transit assignment model with automated fare collection data and a parallel genetic algorithm; and the relationship between travel-related feelings, on-trip activities, and the use of various transport means in urban areas. Other topics explored are: an online archive for geospatial transit performance data; application of the general transit feed specification to Mexico City, Mexico, and beyond; travel time and variability patterns based on facility type; a stochastic volatility modeling approach that accounts for uncertainty in travel time reliability forecasting; motorway travel time estimation considering increased detection spacing; and travel time reliability using the Hasofer-Lind-Rackwitz-Fiessler algorithm and kernel density estimation. In addition, this issue covers these topics: application of finite mixture of regression model with varying mixing probabilities to the estimation of urban arterial travel times; a web-based real-time data collection methodology for transportation operation performance analysis; real-time prediction of arterial roadway travel times using data collected by Bluetooth detectors; an algorithm for detecting outliers in Bluetooth data in real time; and link and route travel time prediction in an urban network based on taxi floating car data.

English

149p

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295321

Print

Figures; References; Tables

Automatic data collection systems; Data collection; Performance measurement; Traffic data; Traffic models; Travel demand; Travel time; Urban areas; Urban travel

Transit assignment

Data and Information Technology; Highways; Operations and Traffic Management; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 3 2015 2:58PM

• Algorithm for Detecting Outliers in Bluetooth Data in Real Time
• Application of Finite Mixture of Regression Model with Varying Mixing Probabilities to Estimation of Urban Arterial Travel Times
• Applying the General Transit Feed Specification to the Global South: Experiences in Mexico City, Mexico—and Beyond
• Arriving Next on Track 1: Online Archive for Geospatial Transit Performance Data
• Calibration of Rail Transit Assignment Model with Automated Fare Collection Data and a Parallel Genetic Algorithm
• Highway Versus Urban Roads: Analysis of Travel Time and Variability Patterns Based on Facility Type
• Hybrid Model for Motorway Travel Time Estimation Considering Increased Detector Spacing
• Link and Route Travel Time Prediction Including the Corresponding Reliability in an Urban Network Based on Taxi Floating Car Data
• Real-Time Prediction of Arterial Roadway Travel Times Using Data Collected by Bluetooth Detectors
• Relationship Between Travel-Related Feelings, On-Trip Activities, and Use of Various Transport Means in Urban Areas
• Stochastic Volatility Modeling Approach That Accounts for Uncertainties in Travel Time Reliability Forecasting
• Time–Space Diagram Revisited
• Travel Time Reliability Using the Hasofer–Lind–Rackwitz–Fiessler Algorithm and Kernel Density Estimation
• Using Third-Party Data for Travel Demand Modeling: Comparison of Targeted Marketing, Census, and Household Travel Survey Data
• Virtual Sensors: Web-Based Real-Time Data Collection Methodology for Transportation Operation Performance Analysis