At 12:44 a.m. on Sunday, the National Weather Service issued a weather notice for Cattaraugus and Allegany counties, warning of heavy fog through 4 a.m.
“Parts of the Western Southern Tier will occasionally have visibility below a half mile due to intense fog throughout the day. The fog will be thickest on higher ground. The weather service warned that overnight visibility might be extremely poor in parts of Allegany and Cattaraugus counties as well as along the Southern Tier expressway.
Guidance from the weather service for navigating foggy conditions
The following safety advice should be kept in mind if you must drive in foggy conditions:
Slow down:
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Slow down and allocate extra travel time to reach your destination safely.
Visibility is important.
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Ensure your vehicle is visible to others by using low-beam headlights, which also activate your taillights. If available, employ your fog lights.
Steer clear of high beams:
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Refrain from using high-beam headlights, as they create glare that impairs your visibility on the road.
Stay away:
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Maintain a significant following distance to account for abrupt stops or shifts in traffic patterns.
Remain in your lane:
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Use the road’s lane markings as a guide to staying in the correct lane.
Protocol for zero visibility:
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In cases of near-zero visibility due to dense fog, initiate your hazard lights and locate a secure spot, such as a nearby business parking area, to pull over and come to a halt.
Absence of parking choices
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If no parking area is available, pull your vehicle as far to the roadside as possible. Once stationary, turn off all lights except the hazard flashers, engage the emergency brake, and release the brake pedal to ensure your tail lights are not illuminated, reducing the risk of other drivers colliding with your stationary vehicle.
Following these weather service guidelines will help you drive more safely in foggy circumstances, reducing the chance of accidents and putting your health first.
United Robots offers a service called Advance Local Weather Alerts that gathers the most recent information from the National Weather Service using machine learning.
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