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Publication Number:  FHWA-HRT-21-089    Date:  February 2022
Publication Number: FHWA-HRT-21-089
Date: February 2022


Exploratory Advanced Research Program

Integrated Data Collection Method for Tracking Freight Movement

PDF Version (6.03 MB)



Technical Report Documentation Page

1. Report No.


2. Government Accession No. 3 Recipient's Catalog No.
4. Title and Subtitle

Integrated Data Collection Method for Tracking Freight Movement

5. Report Date

February 2022

6. Performing Organization Code
7. Author(s)

Moshe Ben-Akiva (0000-0002-9635-9987), Jinping Guan, Kyungsoo Jeong, Jing Ding-Mastera, Peiyu Jing (ORCID: 0000-0003-1179-6211), Monique Stinson, Eric Manzi, William Wong, William Ko, Ernest Guok, Dao Hieu, Christina Lui, Le Tan Thanh, Paola Garbagnoli, Fang Zhao (ORCID: 0000-0003-2800-4479), Linlin You, Vittorio Marzano

8. Performing Organization Report No.


9. Performing Organization Name and Address

Massachusetts Institute of Technology
77 Massachusetts Avenue 1-181
Cambridge, MA 02139

Schatz Publishing Group
11950 W. Highland Ave.
Blackwell, OK 74631

10. Work Unit No. (TRAIS)

11. Contract or Grant No.


12. Sponsoring Agency Name and Address

Office of Corporate Research, Technology, and Innovation Management
Federal Highway Administration
6300 Georgetown Pike
McLean, VA 22101

13. Type of Report and Period Covered

Research Summary Report
September 2015–December 2019

14. Sponsoring Agency Code


15. Supplementary Notes

The Contracting Officer's representative is Birat Pandey (HOFM-1).

16. Abstract

This research summary report describes research carried out to develop an integrated survey methodology and instrument to support the collection of freight movement data. The researchers leveraged the Future Mobility Sensing (FMS) framework, which combines tracking and sensing data with machine-learning algorithms on the back end and user participation to convert raw passive tracking data into processed and verified data. The researchers conducted case studies in each of three phases of the project to test the FMS system with vehicle tracking, shipment tracking, and an integrated test to track both vehicles and shipments together. The project served as a proof of concept that new and emerging technologies can overcome some of the existing challenges to freight logistics data collection.

17. Key Words

Freight, logistics, Future Mobility Sensing, FMS, commodity flow survey, mobile sensing, machine learning

18. Distribution Statement

No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161.

19. Security Classification
(of this report)


20. Security Classification
(of this page)


21. No. of Pages


22. Price

Form DOT F 1700.7 (8-72) Reproduction of completed page authorized

SI* (Modern Metric) Conversion Factors



Federal Highway Administration | 1200 New Jersey Avenue, SE | Washington, DC 20590 | 202-366-4000
Turner-Fairbank Highway Research Center | 6300 Georgetown Pike | McLean, VA | 22101