Traffic monitoring system design considering multi-hazard disaster risks

Area of Science:

• Transportation Engineering
• Urban Planning
• Environmental Risk Assessment

Background:

• Roadways are critical infrastructure vulnerable to disruptions from extreme weather events.
• Accurate traffic flow data is essential for traffic monitoring, urban planning, and transportation system management.
• Existing systems face challenges in maintaining traffic data estimation and roadway observability during disruptions.

Purpose of the Study:

• To develop an optimized traffic sensor placement strategy for dual objectives: accurate traffic data estimation and enhanced roadway observability during extreme weather.
• To address the need for resilient transportation infrastructure capable of withstanding and reporting on disruptions.
• To inform city planning and traffic management through improved data acquisition and risk assessment.

Main Methods:

• A graph-based method for traffic flow estimation on roads without sensors.
• A satellite-based multi-domain risk assessment considering vegetation and flood hazards to identify high-risk roadways.
• A network search method to determine optimal sensor locations and quantities for maximizing estimation and observability.

Main Results:

• The proposed method effectively estimates traffic flow in areas lacking sensors.
• Identified critical roadways highly susceptible to closures due to environmental hazards.
• Determined minimum sensor placements to balance traffic estimation accuracy and risk area observability.

Conclusions:

• Optimized traffic sensor placement significantly enhances urban transportation system resilience.
• Integrating traffic estimation with environmental risk assessment provides a comprehensive approach to infrastructure management.
• The methodology offers a scalable solution for improving city-wide traffic monitoring and disaster preparedness.