Urban and Traffic Data Systems, Vol. 1

Overview

TRB’s Transportation Research Record (TRR): Journal of the Transportation Research Board, No. 2442 consists of 15 papers that examine 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; relationship between travel-related feelings, on-trip activities, and use of various transport means in urban areas; and an online archive for geospatial transit performance data.

This issue also explores the application of a general transit feed specification in Mexico City, Mexico and beyond; an analysis of travel time and variability patterns based on facility type; stochastic volatility modeling approach that accounts for uncertainties in travel time reliability forecasting; a hybrid model for motorway travel time estimation; and travel time reliability using the Hasofer–Lind–Rackwitz–Fiessler algorithm and Kernel density estimation.

Time-Space Diagram Revisited Afian Anwar, Wei Zeng, Stefan Arisona 2442, pp. 1–7   Abstract | References | PDF (4770 KB)

Using Third-Party Data for Travel Demand Modeling Josephine Kressner, Laurie Garrow 2442, pp. 8–19   Abstract | References | PDF (636 KB)

Calibration of Rail Transit Assignment Model with Automated Fare Collection Data and a Parallel Genetic Algorithm Wei Zhu, Ruihua Xu, Yue-Ping Jiang 2442, pp. 20–28   Abstract | References | PDF (1333 KB)

Relationship Between Travel-Related Feelings, On-Trip Activities, and Use of Various Transport Means in Urban Areas Marco Diana 2442, pp. 29–36   Abstract | References | PDF (1306 KB)

Arriving Next on Track 1 Jon Makler, Morgan Harvey, Steve Callas, Kristin Tufte, Ryan Peterson 2442, pp. 37–43   Abstract | References | PDF (7844 KB)

Applying the General Transit Feed Specification to the Global South Emily Eros, Shomik Mehndiratta, Chris Zegras, Kevin Webb, Maria Ochoa 2442, pp. 44–52   Abstract | References | PDF (516 KB)

Highway Versus Urban Roads M. Yazici, Camille Kamga, Kaan Ozbay 2442, pp. 53–61   Abstract | References | PDF (2252 KB)

Stochastic Volatility Modeling Approach That Accounts for Uncertainties in Travel Time Reliability Forecasting Yanru Zhang, Ali Haghani, Ranye Sun 2442, pp. 62–70   Abstract | References | PDF (4668 KB)

Hybrid Model for Motorway Travel Time Estimation Considering Increased Detector Spacing Ashish Bhaskar, Ming Qu, Edward Chung 2442, pp. 71–84   Abstract | References | PDF (2515 KB)

Travel Time Reliability Using the Hasofer-Lind-Rackwitz-Fiessler Algorithm and Kernel Density Estimation Shu Yang, Arif Malik, Yao-Jan Wu 2442, pp. 85–95   Abstract | References | PDF (3904 KB)

Application of Finite Mixture of Regression Model with Varying Mixing Probabilities to Estimation of Urban Arterial Travel Times Peng Chen, Kai Yin, Jian Sun 2442, pp. 96–105   Abstract | References | PDF (4068 KB)

Virtual Sensors Ender Morgul, Hong Yang, Abdullah Kurkcu, Kaan Ozbay, Bekir Bartin, Camille Kamga, Richard Salloum 2442, pp. 106–116   Abstract | References | PDF (2548 KB)

Real-Time Prediction of Arterial Roadway Travel Times Using Data Collected by Bluetooth Detectors Soroush Moghaddam, Bruce Hellinga 2442, pp. 117–128   Abstract | References | PDF (2165 KB)

Algorithm for Detecting Outliers in Bluetooth Data in Real Time Soroush Moghaddam, Bruce Hellinga 2442, pp. 129–139   Abstract | References | PDF (2481 KB)

In addition, this TRR summarizes the application of a finite mixture of regression model with varying mixing probabilities to 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 travel time prediction in an urban network based on taxi floating car data.