Saudi Arabia is rapidly expanding its transportation infrastructure as part of Vision 2030, making road safety a critical priority for government agencies, highway authorities, and infrastructure developers. To support safer roads and reduce traffic-related fatalities, the Saudi Highway Code introduced SHC 603 – Road Safety, a comprehensive framework that standardizes road safety practices across the Kingdom.
The guideline provides a structured approach for conducting road safety audits, analyzing crash data, managing roadway risks, and improving transportation infrastructure. Today, organizations are increasingly combining SHC 603 requirements with AI road safety audit Saudi Arabia solutions and AI-powered road risk assessment KSA technologies to improve safety outcomes and support proactive infrastructure management.

SHC 603 is a dedicated volume within the Saudi Highway Code that focuses on improving road safety through systematic planning, assessment, and monitoring. The framework establishes procedures for identifying hazards, evaluating roadway performance, conducting safety audits, and implementing effective countermeasures.
Unlike traditional approaches that focus primarily on accident response, SHC 603 promotes proactive road safety management through data collection, infrastructure assessment, and predictive risk analysis.
As Saudi Arabia advances toward smarter transportation systems, Saudi highway safety standard AI monitoring is becoming an important tool for supporting SHC 603 compliance and improving network-wide safety performance.
Road safety remains one of the most important challenges facing modern transportation systems. Rapid urbanization, increased vehicle ownership, and expanding highway networks require a consistent framework for managing risks and protecting road users.
SHC 603 helps authorities:
The framework aligns closely with Saudi Vision 2030 road safety AI initiatives that seek to leverage advanced technologies and intelligent transportation systems to create safer roads throughout the Kingdom.
One of the foundational elements of SHC 603 is accurate crash data collection and analysis.
The guideline requires agencies to document crash locations, severity levels, vehicle information, environmental conditions, roadway characteristics, and contributing factors. This data provides valuable insights into accident patterns and recurring safety issues.
Modern road accident prevention AI Saudi Arabia platforms can complement these efforts by automatically identifying risk trends, detecting hazardous roadway conditions, and helping authorities prioritize safety improvements before accidents occur.
By using reliable crash data, transportation agencies can develop more effective safety strategies and allocate resources where they are needed most.
SHC 603 recognizes that effective safety management depends on comprehensive roadway information.
The framework recommends maintaining detailed records of:
This information forms the foundation of modern AI-powered road risk assessment KSA systems that analyze roadway performance and identify potential safety concerns across large highway networks.
When combined with computer vision road safety KSA technologies, agencies can monitor infrastructure conditions more efficiently and improve long-term safety planning.
To measure road safety performance effectively, SHC 603 introduces Safety Performance Indicators (SPIs).
These indicators evaluate several critical areas, including driver behavior, infrastructure quality, vehicle safety, and emergency response capabilities.
Transportation agencies increasingly use AI infrastructure safety analysis tools to monitor these indicators continuously and identify areas where additional safety measures may be required.
This data-driven approach allows policymakers to move beyond reactive decision-making and focus on long-term safety improvements.
SHC 603 promotes a structured methodology for identifying high-risk road sections.
The framework outlines a process that includes:
Today, roadway inspection AI platforms can significantly enhance this process by analyzing roadway imagery, identifying safety deficiencies, and detecting infrastructure issues that may contribute to accidents.
This allows agencies to address hazards proactively rather than waiting for crash patterns to emerge.
Road Safety Audits (RSAs) are among the most important requirements within SHC 603.
The guideline recommends safety audits throughout every stage of a project, including:
Potential safety concerns are identified early, helping designers eliminate risks before construction begins.
Engineering plans are reviewed to ensure they meet safety objectives and operational requirements.
Before a roadway becomes operational, safety auditors verify that infrastructure elements are functioning correctly and comply with established standards.
Operational roads should undergo periodic inspections to identify hazards, deterioration, or safety deficiencies.
Modern AI road safety audit Saudi Arabia solutions help automate many of these inspections by detecting damaged signs, missing barriers, poor pavement conditions, and other infrastructure risks.
A key principle within SHC 603 is balancing proactive and reactive safety approaches.
Reactive safety management relies on historical crash records to identify problem areas after accidents have occurred.
Proactive safety management uses predictive models, roadway assessments, and AI-powered road risk assessment KSA technologies to identify risks before they result in crashes.
SHC 603 encourages a hybrid approach that combines both methods to create a more comprehensive and effective road safety strategy.
Speed remains one of the most significant factors influencing crash severity.
SHC 603 includes guidance on speed management measures such as:
To ensure these safety devices remain effective, agencies increasingly rely on AI crash barrier sign inspection Saudi Arabia systems to monitor roadside assets and identify maintenance needs quickly.
The framework also addresses specialized safety requirements for tunnels and hazardous goods transportation.
Tunnel safety provisions focus on operational procedures, emergency response planning, traffic control, vehicle spacing, and control center management.
For hazardous material transportation, SHC 603 establishes requirements for vehicle classification, operator training, cargo identification, emergency preparedness, and safety protocols.
These provisions are particularly important for industrial corridors and logistics routes throughout Saudi Arabia.
As Saudi Arabia continues investing in intelligent transportation systems, artificial intelligence is becoming an important component of road safety management.
Applications include:
These technologies help agencies improve safety monitoring, automate inspections, reduce costs, and support compliance with SHC 603 requirements.
SHC 603 provides a comprehensive framework for improving road safety across Saudi Arabia. By establishing standardized procedures for crash analysis, safety audits, roadway inspections, risk assessment, and infrastructure management, the guideline supports safer and more efficient transportation networks.
As agencies increasingly adopt AI-driven road safety technologies, SHC 603 will continue to play a critical role in supporting Vision 2030 objectives and reducing road-related fatalities throughout the Kingdom.
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SHC 603 is the Road Safety volume of the Saudi Highway Code that provides guidelines for road safety audits, crash analysis, roadway inspections, risk assessment, and traffic safety management.
SHC 603 improves road safety by establishing standardized processes for identifying hazards, analyzing crashes, conducting safety audits, implementing countermeasures, and monitoring roadway performance.
AI can automate road safety audits, roadway inspections, crash risk assessments, traffic monitoring, and infrastructure evaluations, helping agencies improve compliance while reducing inspection time and costs.