Using PeMS Data to Empirically Diagnose Freeway Bottleneck ...

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Conclusions

• Ten Queues Formed at Five Locations

• Flow Reduction of 3-15%

• No Queue in HOV Lanes

• Bottlenecks Typically Activated Near Ramps

• No Speed Threshold Needed

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Results

Conclusions • Ten Queues Formed at Five Locations • Flow Reduction of 3-15% • No Queue in HOV Lanes • Bottlenecks Typically Activated Near Ramps • No Speed Threshold Needed

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 18 and 19: Future Research • Study site on d
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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