Topic: Headway Management Using Real-Time Transit Data

We present a data-driven framework for mitigating bus bunching and gapping using real-time transit data, machine learning, and optimization models. The system supports proactive headway management by evaluating and recommending operational control strategies that improve service regularity and network performance.

Speaker: Ghazaleh Mohseni

Ghazaleh Mohseni is the R&D Director at the Interactive-OR, where she leads the design and development of decision-support systems for urban mobility and transportation operations. Her work combines optimization, machine learning, and large-scale data to build practical tools that help cities improve network design, reliability, and operational efficiency.

Agenda:

7:00-7:20 Welcome and Introductions

7:20-7:50 Presentation and Q\&A/discussion

7:50-9:00 Breakout groups

Code of Conduct:

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