Southeast Florida FSUTMS Users Group Travel Demand Forecasting

APA Florida Chapter, Broward Section


Friday, December 8, 2017
9 a.m. - noon EST

Fort Lauderdale, FL, United States

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By attending the Users Group meeting, participants will learn the planning applications using travel demand forecasts; innovative methodologies for regional model development; and using Big Data Applications in transportation planning

The first presentation is titled “Transportation-related “big data””, and It will be given by Mr. Kyeongsu Kim of Connetics Transportation Group

 The following is the abstract of the presentation:

 Transportation-related “big data” refers to any passively collected vehicle and person movement data (regardless of mode) that can be used for transportation planning activities, including travel demand forecasting (TDF) and model development (MD) activities. The data may consist of travel time, flow, scheduling, and/or volume information. This presentation will discuss the availability of transportation-related big data, its type, and original data source. It will focus on describing Origin-Destination (O-D) related big data, especially their limitations and relative strengths for modeling purposes. Part of presentation will introduce an ongoing effort to create a simplified OD matrix for New York City using cell location data from AirSage, CTPP, LODES, and MPO model OD matrix

 The second presentation is titled “Comparison of Bluetooth Survey and Streetlight Origin-Destination Data- Case Study of Iron Triangle”, by Mr. Mohammad Lavasani, Ph.D., of CALTRAN Engineering Group

 The following is the abstract of the presentation:

The Florida Department of Transportation commissioned this Urban Interchange Mobility Planning Study of a complex interchange formed by the convergence of three major urban State Roads, which are SR-953 / N.W. 42nd Avenue, SR-948 / N.W. 36th Street, and SR-25 / Okeechobee Road in central Miami-Dade County, FL.  This interchange, known as the “Iron Triangle”, provides access to three major destinations for traffic which includes, the Miami International Airport, Dolphin Expressway (SR-836), and Palmetto Expressway (SR-826).  As a part of this planning study, Caltran Engineering performed Origin-Destination survey using two sources; Bluetooth and Streetlight. This is a state-of-the-art study in the area because of using two innovative sources of O-D data collection on same stations which can provide valuable information for the sake of comparing Cellphone-based data with Bluetooth based data. It was found that since the Bluetooth detectors detect every five seconds, in case a Bluetooth device is within range of a detector for more than five seconds, it can result in multiple recorded detections and the Origin-Destination matrix can be biased. Consequently, the Origin-Destination matrixes from Bluetooth and Streetlight sources will not be close. To modify this problem, raw MAC address detections should be explored and correct adjust factor should be applied on Bluetooth counts. Using this method, the resulting Origin-Destination matrices of two methods are much closer. This presentation will focus on comparing the sources of Origin-Destination survey and showing a case study on Iron Triangle. Also at the end of this effort, a question is brought up: which of the sources are more trust-able? A method of adjusting the raw Bluetooth data will be reviewed and the results of two data collection methods before and after the adjustment will be discussed

 The third presentation is titled “STOPS – What’s New for STOPS in South Florida”, by Mr. William A. Woodford of RSG.

 The following is the abstract of the third presentation.

 This session will provide a brief introduction to FTA’s Simplified Trips-on-Project Software (STOPS) and then describe some of the upcoming features to be available in STOPS v2.50 . This session will conclude with a discussion of progress on the development of a new county-wide STOPS implementation for Miami-Dade County.

STOPS v2.50 has several new features that will help users quickly and easily customize STOPS for application in their areas.  These include:

Revised calibration options that allow users to more closely match APC and route-level counted ridership

·       A tool for graphical and tabular editing of GTFS files called GTFSed

·       New validation against existing projects ranging from new BRT-lite systems up to major subway extensions such as New York’s Second Avenue Subway and Washington’s Silver Line

One of the first implementations of v2.50 in a live project setting is the County-wide model for Miami-Dade County.  This new version of the STOPS implementation will be used to support development of the County’s SMART Plan.  The calibration process will be described as a case study for appropriate steps that can be taken to implement STOPS in any new setting—starting with a rough working process and ending up with a fully calibrated mode. 

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Kyeongsu kim

Mr. Kim has expertise in travel behavior, big data analytics, accessibility, travel demand forecasting, and transit and socioeconomic related studies. He has superior knowledge of econometric methods such as hedonic price and probability choice models (i.e., discrete choice and multinomial logit model). Mr. Kim has dealt with various transportation ... Read More

Mohammad Lavassani

Dr. Lavasani has graduated with his Ph.D. in Civil Engineering from Florida International University in 2016 and joined Caltran Engineering Group as a travel demand modeler. He defended his doctoral dissertation in November 2016 with the topic of “Potential Implication of Automated Vehicle Technologies on Travel Behavior and System ... Read More

William Woodford

Bill Woodford, Principal at RSG, has 35 years of consulting experience in the areas of travel demand forecasting, ridership forecasting, and transportation planning. He has focused his career on the planning and development of fixed guideway transit New Starts projects with a particular emphasis on transit ridership forecasting, alternatives analysis ... Read More

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Marilyn Mammano,