There are some stages in each driver’s life are challenged by bad weather and environment conditions of roads. Many of the drivers tend to neglect the circumstances and do not plan for bad unexpected conditions. Researchers in US have found that about 24% of the traffic accidents occur because of inadequate weather conditions and road situation.
Weather and environment conditions of the road includes ice, snow, rain, fog and smog. All of the four types can be quite dangerous for drivers and require high degree of maturity for driving. Suppose you are out for a picnic party on apparent sunny day and when you reach your station you started your fun. After spending some time you noticed the change in the weather and suddenly clouds surround you. At that time, you decided to return immediately. On the way back to your home you encounter heavy rain and visibility reduced to very low threshold then you are definitely doomed. If you could have some prior knowledge of road ahead, you could stay in some hotel for some time to wait until you get information about clear or acceptable road ahead in your path.
Bad Weather and environment conditions of roads ahead
In Punjab, we are habitual of driving in sunny weather most of the time.
Most of the drivers has license and they have experience in driving on simple roads but they have not yet encountered any severe weather circumstances during driving. It should be the part of learning during license issuance to adjust according to the weather conditions. Unfavorable conditions of weather on roads require special caution and adjust normal driving behavior. During fog days there have been many cases when a large number of vehicles collide with each other. In most of the cases during fog, there are areas where there is less fog and you drive in relatively high speed. Suddenly, fog level increases and visibility drops to very low range and vehicle are moving at low speed in that area. In such scenario there is a high probability of collusion of your car and cars ahead of you.
Unusual and unwanted environment conditions includes
- Raining on the road
- Driving toward the sun from sunrise to sunset
- Dust storms
- Smoke from different sources like fire and factories
- Strong winds
- Fog and Mist
- Extreme cold and hot weather
In these changed weathers the drivers may face different problems like:
- Visibility reduction
- Less control of steering
- Reduced traction
- Increased time and space required to bring the vehicle to a stop.
Precautions for handling adverse weather conditions.
Most of the drivers have not faced sudden weather changes. During these case we have the option whether to tackle these severe environment conditions or rather to avoid them. The better way to be safe in extremely bad weather is to restrain driving at all for environment conditions of roads. Even for the expert drivers with the good conditioned vehicles the optimal way is to prevent an incident or problem on the road in stormy weather and just stay in the house and wait for the weather condition to improve. If possible, it is best for you to postpone your travel and stay home rather than drive if there is an intense weather going through your neighborhood.
For those who are required to move on the road in any condition, it is necessary for them to pre-plan the situation ahead for the drive! Driving in bad weather conditions mostly requires longer period of time than normal and is more painful environment conditions of roads. Getting continuously late from reaching destination increases your stress level and could negatively affect your driving. By planning ahead for the adverse weather ahead, you will be better prepared to handle unfortunate situations, aimed at environment conditions of roads.
How we are helping
We are generating a unique state-of-the art system that provide pre-information about road weather condition ahead. The system is capable of providing different weather information like rainy weather, storm, fog, smog and smoke detection. The proposed system will provide information of roads ahead of your path. It will display on screen about any unexpected circumstances of environment. It will also be helpful for sending alarms on for any road breakage.
Methodology To implement the proposed system we will use recent advancement in deep neural network. We will use convolution neural networks and residual networks for classification of fog, smoke, rain and dust storms , show on displays.
You can also read about automatic vehicle counting