Downtown Brockton Transportation Technology Project [Supporting Datset]

doi:10.21949/q4x5-8w68

i

Downtown Brockton Transportation Technology Project [Supporting Datset]

Dataset Supporting Files

2026-09-01
By City of Brockton Department of Public Works (Massachusetts)

File Language:

English

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Details

Corporate Creators:

City of Brockton Department of Public Works (Massachusetts)
Corporate Contributors:

Strengthening Mobility and Revolutionizing Transportation (SMART) Program
Subject/TRT Terms:
DOI:

https://doi.org/10.21949/q4x5-8w68
Resource Type:

Dataset
Right Statement:

Open Access; https://creativecommons.org/licenses/by/4.0/
Geographical Coverage:

United States
Corporate Publisher:

Strengthening Mobility and Revolutionizing Transportation (SMART) Program
Description:

The City of Brockton demonstrated downtown traffic coordination improvements by installing a traffic management system along Warren Avenue. The project upgraded traffic signal operations by replacing outdated traffic signal controllers at six locations. The system included GPS-based emergency vehicle preemption, transit signal priority, video detection, automated traffic signal performance measures, and equipment to support future connected vehicle applications. The project also included intelligent, sensor-based infrastructure to monitor air quality, pavement temperatures, and trash receptacles.

The accompanying dataset contains 3,382 CSV files covering May 27, 2025, through June 30, 2026, including traffic controller events, environmental observations and sensor averages, waste-receptacle records, and travel-time GPS observations.
Content Notes:

This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/.
Format:

ZIP
Funding:

SMARTFY22N1P1G26
Download URL:

https://rosap.ntl.bts.gov/view/dot/93880/dot_93880_DS1.md
File Type:

[md - 3.85 KB]
Collection(s):

SMART Program
Main Document Checksum:

urn:sha-512:b1a1cc80c49090a7ce24f8ae57295d699232059b268aa489118c7f57297c608c095b9dc7f07c0daee10eea7cfa871e7cd7afd579fe4867d85c877e30ccacf974

File Language:

English

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