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Title:

Using Big Data and Travel Time Analysis to Enhance the Calibration and Validation External/Internal and External/External Models for a Small MPO Travel Demand Model

Accession Number:

01661321

Record Type:

Component

Abstract:

Trips that have at least one end outside of a study area could be a significant proportion of total trips in that study area. Accurately estimating these trips is a critical part in travel demand modeling. In the past, active external survey data collection methods such as license plate recognition software, Bluetooth data collection methods and intercept surveys were used to develop trip proportions for these trips. With the ubiquity of cell phones and big data, the availability of passive and more accurate Cell phone data collected over longer periods of times is now available for use in Travel Demand Models. One of the issues with obtaining this data is the high costs especially for small and medium-sized MPOs. To mitigate this cost, data for this study was obtained through a partnership of all the MPOs within the state thereby benefiting from economies of scale savings. The statewide data collected necessitated the development of methods to extract EE data passing through the study area. This study developed empirical methods, models and parameters that were used to calibrate and validate external trip generation and distribution steps for a TDM. The model output from the TDM showed higher replication of observed Origin-Destination matrices compared to models that did not use the parameters. About 17% of external trips were through trips, higher than has typically been assumed. The methods, models and parameters developed in this study can be used by other small and medium-sized MPOs for TDMs.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ10 Standing Committee on National Transportation Data Requirements and Programs. Alternate title: Using Big Data and Travel Time Analysis to Enhance the Calibration and Validation of External–Internal and External–External Models for a Small MPO Travel Demand Model

Report/Paper Numbers:

18-06448

Language:

English

Authors:

Motuba, Diomo
Mirzazadeh, Babak
Khan, Muhammad Asif

Pagination:

12p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-06448

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:40AM