GoKawiilBoston University engineer develops math models aimed at replacing traffic lights
Christos Cassandras, a Boston University professor and IEEE Life Fellow, has built mathematical models and algorithms that use vehicles' speed, mass, and distance to coordinate self-driving cars without traffic signals. He received this year's IEEE Intelligent Transportation Systems Society Outstanding Research Award for the work, which builds on his 1990s theory describing cars as both physical objects and information-processing systems, now known as cyber physical systems.
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Cassandras frames safety as the central requirement before such systems could be deployed, suggesting manufacturers would need mathematical guarantees before consumers trust driverless coordination at intersections. His cyber physical systems framework already underpins how engineers model vehicle behavior, which could mean his newer traffic-light-free models gain similar influence across the field. The award signals recognition from a major engineering body that this line of research is considered significant for autonomous vehicle development.
- Cassandras won the IEEE ITS Society's Outstanding Research Award for autonomous vehicle coordination work.
- His models aim to let self-driving cars navigate intersections safely without traffic lights using speed, mass, and distance data.
- His 1990s cyber physical systems theory remains a standard framework for describing vehicle mechanics and decision-making.
Source: spectrum.ieee.org — Willie D. Jones, 2026-10-02
Published there as: “Smart Car Researcher Wants to Eliminate Stoplights”
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