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Samer H. Hamdar

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Open access Aug 2026

Conditional Deep Learning for Urban Origin–Destination (OD) Matrix Estimation Under Varying Connected-Vehicle Penetration

Connected vehicles and vehicle-to-everything (V2X) communication create new opportunities for estimating urban origin–destination (OD) demand from continuously collected mobility data. However, in realistic deployment conditions, only a fraction of vehicles may be connected, making OD reconstruction a highly underdeter...

Mohammad Emad Rashidi, Ahmad Mansour, Samer H. Hamdar et al. · 0 citations

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