An increasing number of vehicles on the roads increases the risk of accidents. This risk
almost doubled 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. 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 road side. 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. Additionally, the
proposed framework for the AALS also reduces the risk of MVCs