Using PeMS Data to Empirically Diagnose Freeway Bottleneck ...

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Future Research

• Study site on different days

• Manual replication of procedure

• Develop semi-automated method

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Future Research • Study site on different days • Manual replication of procedure • Develop semi-automated method

Acknowledgements • Prof. Pravin Varaiya and Prof. Alexander Skabardonis, U.C. Berkeley • Dr. Karl Petty, Berkeley Transportation Systems • Pherak Hay, Vu Mai, and Roger Lindgren

Page 1 and 2: USING PeMS DATA TO EMPIRICALLY DIAG
Page 3 and 4: Background • Foundation for Under
Page 5 and 6: Bottleneck Definition • Queue ups
Page 7: Methodology • Cumulative Curves -
Page 10 and 11: -50500 -51000 -51500 -52000 -52500
Page 12 and 13: -44000 -44500 -45000 -45500 -46000
Page 14 and 15: 5.60 LEGEND Queue - Activation Queu
Page 16 and 17: Results
Page 20 and 21: Station 50, Occupancy 100% 90% 80%
Page 22 and 23: -50500 -51000 -51500 -52000 -52500

Using PeMS Data to Empirically Diagnose Freeway Bottleneck ...

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