Abstract:
Smart roads have gained popularity around the world in recent years, with driving safety
being the most significant element. Existing research is mostly focused on the early
detection and prevention of safety problems related with traffic, obstructions road
alignment, etc. However, despite its importance to the traffic system, the pavement
received less attention in previous studies. Poor road surface conditions such as
insufficient anti-skid performance or pits, ruts and other diseases have a great impact on
driving safety. At the same time, for a single vehicle, its driving range is mainly a lane, so
the early warning, prevention and control of risks should also focus on the lane level. At
present, the intelligent perception and identification technology for road hazards is
becoming more developed.
The discussion will focus on how to establish the relationship between road conditions and
road risks, and how to clarify the individual risk caused by a single factor and the
combined risk level formed by multi-factor coupling.
On this basis, the timely transmission of risks to drivers, the scientific and rapid handling of
risks caused by poor road conditions are urgent to be solved, which involves the precise
positioning of static road conditions, dynamic vehicles, vehicle-road cloud information,
real-time and accurate interaction requires advanced technologies such as satellite
positioning, information communication, and big data. Based on the problems raised
above, the goal of this project is to reduce road safety hazards while also promoting the
digital upgrading of infrastructure, such as improving digital construction and the
construction of smart roads in South Africa.
