“Intelligent traffic management systems can save tons of CO2 emissions by 2027”, Auto News, ET Auto
Reducing congestion through optimized traffic control will be the main influencing factor. Intelligent Traffic Management uses digital technologies to manage traffic based on real-time data to reduce congestion and minimize emissions.
The new study from Juniper Research has identified the environmental benefits of intelligent traffic management systems as very compelling, including significant reductions in congestion and prioritization of greener modes of transport.
The report identified smart intersections as driving reductions, with time spent in traffic expected to decrease by an average of 36 hours per year per motorist globally by 2027.
Additionally, it predicts that investment in smart intersections will reach $10.2 billion by 2027, up from $5.7 billion in 2022.
It foresees that smart intersection providers will focus on improving connectivity between on-road vehicles and the local road network ecosystem, mirroring the government’s smart city initiatives. Providers should take advantage of 5G’s low latency capabilities, combined with machine learning algorithms, to enable real-time network adjustments and improve traffic flow.
Research argues that cybersecurity must be considered when implementing intelligent traffic systems to maximize public support, alleviating concerns about data collection and storage.
Intelligent traffic management systems should also be prioritized for cybersecurity implementation, as user data is passed through every step of the process.
Given the potential for cyberattacks to disrupt infrastructure through denial of service, the study highlighted the need for robust cybersecurity strategies to prevent threats to the integrity of road infrastructure.
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