The I-10 corridor through East Baton Rouge is set to experience another round of nighttime closures, as the Louisiana Department of Transportation and Development (DOTD) continues its broadening endeavors. According to an announcement from DOTD, the scheduled closures are a necessary step for the advancement of the I-10 Widening Project, which seeks to alleviate congestion and modernize the critical interstate segment.
Disruptions will primarily affect nocturnal commuters, with Dalrymple Drive shutting down from E. Lakeshore Drive to March Street starting Saturday, June 14, and going through Saturday, June 21, from 7 p.m. to 7 a.m. Significantly, both the westbound Dalrymple Drive on-ramp and off-ramp will also see closures from Wednesday, June 18, to Saturday, June 21, though DOTD assures that one of, the ramps will remain open at any given time to maintain some traffic flow.
Additional closures along I-10 include the westbound Louise Street off-ramp, Lorri Burgess Avenue on-ramp, and a stretch from the College Drive exit to the Government Street exit. These will take place from Wednesday, June 18, to Saturday, June 21, at varying times during the night. Travelers are urged to seek alternative routes or allow for extra transit time as they navigate these temporary traffic adjustments.
DOTD emphasizes the importance of driver vigilance during this time, particularly for the safety of construction workers braving the nocturne to enhance the roadways. "DOTD urges drivers to plan accordingly, allowing extra travel time and exercising caution when driving through construction zones," reads a notice on the project's website. Motorists should take heed of signage and remain watchful for the presence of work crews, and their equipment.
For those seeking further details on the ongoing construction and related traffic alerts, detailed information is available on the project's official website, I10br.com. DOTD extends its gratitude for public patience amid these construction undertakings and strives to keep disruptions to a minimum where feasible.
