2025 02 18 Traffic Assessment_172 174 Main St

www.dynamictraffic.com Lake Como, NJ • Chester, NJ • Toms River, NJ • Newark, NJ • Newtown, PA • Philadelphia, PA Bethlehem, PA • Allen, TX • Houston, TX • Austin, TX • Delray Beach, FL • Annapolis, MD Dynamic Traffic, LLC 245 Main Street, Suite 110 Chester, NJ 07930 T. 732.681.0760 February 18, 2025 Township of West Orange Planning Board 66 Main Street West Orange, NJ 07052 Attn: Jamilet Baquerizo Vite, Secretary Re: Traffic Impact and Parking Assessment 172-174 Main Street LLC Proposed Mixed-Use Development Block 89 – Lot 6 172-174 Main Street (CR 659) Township of West Orange Essex County, NJ DT # 5661-25-00657 Dear Planning Board Members: Dynamic Traffic has prepared the following assessment to determine the traffic impact associated with the proposed development of a site located along southbound Main Street (CR 659), between its intersection with Lakeside Avenue and Charles Street in the Township of West Orange, Essex County, New Jersey. The site is designated as Block 89 – Lot 6 on the Township Tax Maps. The site is currently developed with a two-story office building totaling approximately 6,600 SF and a paved parking area. The property owner proposes to improve the existing parking area and add a single story to the existing two-story office building and convert the property to a mixed-use residential building containing 7 units and 2,824 SF of ground floor office space (The Project). Parking will be provided via 25 spaces accessed via a reconstructed curb cut along Main Street. This assessment documents the methodology, analyses, findings and conclusions of our study and includes: • A detailed field inspection was conducted to obtain an inventory of existing roadway geometry, traffic control, and location and geometry of existing driveways and intersections. • Projections of traffic to be generated by The Project were prepared utilizing trip generation data as published by the Institute of Transportation Engineers. • The anticipated parking generation was assessed based on demand experienced at similar developments and availability of mass transit.