Advanced Clean Trucks (ACT) One-Time Fleet Reporting Vehicle Data
Information on heavy-duty vehicle fleets operated by large private entities, government agencies, and municipalities in New York State, submitted for the Advanced Clean Trucks program. Each record identifies the reporting business or agency, including its name, an alternate name if applicable, street address, city, state, and zip code.
| Namelegal entity | Alternate Namelegal entity | Cityaddress | Stateaddress | ZIP Codeaddress | Street Addressaddress | Organization IDidentifier | Organization Typeclassification | Government Jurisdictiongeographic | Parent Body IDidentifier | Revenue 2021financial | NAICS Codeindustry |
|---|---|---|---|---|---|---|---|---|---|---|---|
| State University of New York at Buffalo | State University of New York (SUNY) | AMHERST | NY | 14260 | 105 SERVICE CENTER RD | 986 | Government Agency | State | 68 | N/A | 611310 |
| Rensselaer County | Rensselaer County | TROY | NY | 12180 | 124 BLOOMINGROVE DRIVE | 724 | Government Agency | County | 401 | N/A | 921190 |
| Suffolk County | Suffolk County | YAPHANK | NY | 11980 | 335 YAPHANK AVE | 708 | Government Agency | County | 399 | N/A | 921190 |
Fleet Electrification Sales Prospecting
A sales team at an EV charging infrastructure company identifies large private fleet operators in New York that currently lack charging infrastructure but operate significant numbers of vehicles, prioritizing outreach by fleet size and sector.
Commercial Auto Underwriting Intelligence
An insurance underwriter assessing a new commercial auto policy for a trucking company cross-references this dataset to verify fleet composition, facility ownership status, and whether the applicant subcontracts hauling to third parties, which affects liability exposure.
Freight Broker Compliance Screening
A fintech platform onboarding freight brokers as business customers checks whether applicants accurately disclosed their FMCSA broker authority status and contracted subhauler relationships, flagging discrepancies between self-reported data and this regulatory filing.



















