Two Dead, Four Injured in Samut Prakan Car Crash
A sedan driven by a 52-year-old woman plowed into pedestrians and parked vehicles in a busy Samut Prakan market lane on November 9, killing two elderly women and injuring four others. The driver claimed she fainted at the wheel and tested negative for alcohol. Police are investigating using CCTV footage and witness accounts to determine the cause and file charges.
At 7:10 a.m. on November 9, 2026, Muang Samut Prakan Police received a report of a car hitting pedestrians and motorcycles in Soi Bun Sirichai 14 off Sukhumvit Road in Pak Nam district. Officers rushed to the scene with ambulances from Samut Prakan Hospital and nearby rescue units. The narrow community street has two-way traffic and was busy with morning shoppers.
Police found two women dead at the scene: Ms. Pikul, 75, and Ms. Kanthasini, 68 (surnames withheld). Four other women were injured, three seriously, and were rushed to nearby hospitals. Three motorcycles, one bicycle, and a food cart were damaged.
The vehicle involved was a Honda HR-V with Bangkok plates, its front heavily smashed and pinned against a house wall with a motorcycle lodged underneath. The driver, a 51-year-old woman, was standing at the scene in shock and initially unable to give a statement. Police took her to the station for further questioning.
Witness Ms. Thaniya, 60, a congee shop owner, said she was serving customers when the sedan sped past her shop at high speed before a loud crash shook the area. She feared for her life. Another witness, Mr. Sai-an, 60, said traffic was congested when the sedan overtook on the right, crossed lanes, and plowed into the shop area, hitting people and parked motorcycles over a long distance.
Police are investigating the driver, reviewing CCTV footage, and gathering witness evidence. The driver was later identified as Ms. Kannikar, 52. A breathalyzer test showed zero alcohol. She initially claimed she lost consciousness while driving, causing the car to veer out of control. Authorities are verifying this claim through detailed CCTV analysis and witness statements to determine the exact cause and pursue legal action.
