Abstract
An increasing number of vehicles on the roads increases the risk of accidents. In bad weather (e.g., heavy rainfall, strong winds, storms, and fog), this risk almost doubles due to bad visibility as well as road conditions. If an accident happens, especially in bad weather, it is important to inform approaching vehicles about it. Otherwise, there might be another accident, i.e., a multiple-vehicle collision (MVC). If the Emergency Operations Center (EOC) is not informed in a timely fashion about the incident, fatalities might increase because they do not receive immediate first aid. Detecting humans or animals would undoubtedly provide us with a better answer for reducing human fatalities in traffic accidents. In this research, an accident alert light and sound (AALS) system is proposed for auto accident detection and alerts with all types of vehicles. No changes are required in non-equipped vehicles (nEVs) and EVs because the system is installed on the roadside. The idea behind this research is to make smart roads (SRs) instead of equipping each vehicle with a separate system. Wireless communication is needed only when an accident is detected. This study is based on different sensors that are used to build SRs to detect accidents. Pre-saved locations are used to reduce the time needed to find the accident’s location without the help of a global positioning system (GPS). Additionally, the proposed framework for the AALS also reduces the risk of MVCs.
Highlights
Traveling is one of the basic needs of every person who lives in cities or villages.There are several ways to travel from one place to another by air, water, rail, and road in various types of vehicle, e.g., cars, motorbikes, buses, and trucks
The proposed AALS system provides a solution to the problems of actual location detection of an accident in order to protect other drivers and the authorities
By making smart roads using this AALS system, drivers are informed in time about any dangerous situation on the road
Summary
Traveling is one of the basic needs of every person who lives in cities or villages.There are several ways to travel from one place to another by air, water, rail, and road in various types of vehicle, e.g., cars, motorbikes, buses, and trucks. One does not know what will happen on the road, during bad weather conditions (BWC). In such a situation, driving can be difficult due to bad visibility, which can lead to an accident. The showed a reading of less than when an obstacle came in front of it. To module’s light passageway is easy to detect.isHowever, the problem that it in detects every handle this situation, software used so that, if an obstacleisremains place, the value generated is greater thanwe the have value generated vehicle passesTo in front of the obstacle that passes in front of it, but to detectwhen only avehicles that stop
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