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Welcome, Dr. Levinson!

Welcome, Dr. Levinson!. PSU ITS Lab: Bertini Group. Rafael J. Fernández-Moctezuma. 3 rd year Ph.D. Student in Computer Science Areas of Interest Data Stream Management Systems Intelligent Transportation Systems Thesis Topic: Inter-operator feedback, bounded execution guarantees.

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Welcome, Dr. Levinson!

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  1. Welcome, Dr. Levinson! PSU ITS Lab: Bertini Group

  2. Rafael J. Fernández-Moctezuma • 3rd year Ph.D. Student in Computer Science • Areas of Interest • Data Stream Management Systems • Intelligent Transportation Systems • Thesis Topic: Inter-operator feedback, bounded execution guarantees Rafael J. Fernández-Moctezuma 2

  3. Data Stream Management Systems • Deal efficiently with high-volumes of incoming data • Traffic Data  CS theory • Inter-Operator Feedback • Guarantees on Bounded Stream Query Execution Work with Prof. Maier, and Prof. Tufte PACE IMPUTE σC σ¬C DUPLICATE Rafael J. Fernández-Moctezuma (b) Localized Adaptation (a) Centralized Adaptation

  4. On-Line Imputation Strategies • Big picture: Adapt to incoming data characteristics to perform near real-time imputation • Looked at diverse strategies, not all amicable for low latency processing • Spatial and Temporal models, some heuristic, some statistical. Work with Prof. Bertini, Prof. Maier, and Prof. Tufte Rafael J. Fernández-Moctezuma

  5. Bottleneck Identification • Work toward automatic bottleneck detection • “Living history” of Portland Bottlenecks • Can process one year of data per corridor in one day (commodity PC) Work with Prof. Bertini, Jerzy Wieczorek, Huan Li Rafael J. Fernández-Moctezuma

  6. Optimal Sensor Placement • Where do we position loop detectors to better operate the freeway infrastructure? • Challenges: What’s “better”? Optimal ramp metering? Better travel time estimations? Early bottleneck detection? • Recently focused on Linear Programming approach for early bottleneck detection Work with Prof. Figliozzi, Prof. Bertini Rafael J. Fernández-Moctezuma

  7. Wei Feng • 1st year Graduate Student in Transportation Engineering • Current Research Topics in the ITS Lab • Impacts of Sensor Spacing on Accurate Freeway Travel Time Estimation for Traveler Information • Dynamic Bi-level Programming Models for Distribution Centers Location Wei Feng 7

  8. Travel Time Estimation/Sensor Spacing • Calculate relationship between all types of errors and sensor • spacing for each method Compute VHT errors of different travel time estimation methods where transition happens Wei Feng Work with Porf. Bertini 8

  9. Travel Time Estimation/Sensor Spacing Minimize the combined cost of VHT error cost and sensor construction cost. Express optimal sensor spacing with parameters: speed, flow and cost coefficients. Sensitivity analysis of parameters to the optimal sensor spacing. Wei Feng Work with Porf. Bertini 9

  10. Travel Time Estimation/Sensor Spacing Wei Feng Work with Porf. Bertini Convert absolute VHT error or percentage VHT error into money, and how to set the conversion coefficient? What would be the reasonable constraints of absolute VHT error and percentage VHT error when applying optimization method? 10

  11. Dynamic Bi-level Model for DC Location • Solution Algorithm: Cluster and Approximation • Upper level: Minimize total cost (system minimization) • Lower level: Minimize distribution cost (customer minimization) • Radial distribution • Multi TSP distribution • Multi VRP distribution Wei Feng Work with Porf. Figliozzi 11

  12. Huan Li • Ph.D Student in Civil Engineering • Areas of Interest • Freeway Management and Operation • Transit Operation • Intelligent Transportation System • Climate Change Huan Li 12

  13. Transit Service Evaluation Navstar GPS Satellites Radio System Radio Antenna GPS Antenna Doors Lift APC (Automatic Passenger Counter) Overhead Signs Odometer Signal Priority Emitters Stop Annunciation On- Board Computer Control Head MemoryCard Radio Garage PC’s • Use high resolution archived stop-level data • One year’s worth of data • Referring all routes in Portland Metropolitan region every trip every bus stop event Assess optimal stop spacing considering access cost and riding & stopping cost Huan Li 13

  14. Transit Service Evaluation Huan Li 14

  15. Analyze lane changing effect on speed using lane by lane oblique curve “Historical data” Automatically identify HOV lane merging and diverging features Indicator: piece wised linear regression for curve fitting Endogenous Model vs. Extraneous Model Traffic Flow Features on HOV lane Huan Li 15

  16. Traffic Flow Features on HOV lane Next step: compose oblique method with threshold based identification method Other applications: incident detection, bottleneck identification…. Huan Li 16

  17. Alex Bigazzi • Civil engineering undergraduate, senior (focus on transportation) • Areas of Interest • Transp. system sustainability • Modeling transp. emissions and diffusion • Honor Program – Thesis topic: Carbon Sponsoring for Personal Travel Alex Bigazzi 17

  18. ‘Greening’ PORTAL • Sustainability performance measures for the transportation data archive at PSU • Emissions: currently MOBILE 6.2, will use MOVES • Fuel Consumption • Cost of Delay • Personal Mobility (PHT, PHD, PMT) Alex Bigazzi 18

  19. ITS Data Aggregation Effects • Errors from temporal aggregation • Data source: disaggregate speeds from loop data • Event: car passes over loop • Error 1: Time resolution • Shock speed Alex Bigazzi 19

  20. Error 2: Parameter distribution Speed distribution narrows Underestimate emissions, delay Travel time errors from using time mean speed Underestimate delay Corrected using harmonic mean Can be estimated w/ variance ITS Data Aggregation Effects Alex Bigazzi 20

  21. CarbonSponsor.org • Framework for individuals to seek direct, voluntary carbon offsets for personal travel • Targets carbon reductions outside of current monetary-based offset programs • Project objectives: • Establish calculation methods for carbon outputs • Develop effective and simple online interface • Analyze initial feedback from pilot users Alex Bigazzi 21

  22. Meead Saberi K. • 1st year M.S. Student in Civil Engineering • Areas of Interest • Traffic Flow Theory • Intelligent Transportation Systems • Possible Thesis Topics: Uncertainty Propagation in Traffic Flow Models or Bottleneck Identification using FOTO and ASDA Models Meead Saberi K. 22

  23. Effects of Weather on Traffic Flow on Freeways • Dealing with two large databases of traffic data and weather data (PORTAL) • Traffic and weather data fusion and quality Meead Saberi K. 23

  24. Effects of Weather on Traffic Flow on Freeways • Effects of precipitation, visibility and wind speed on: speed and flow (average, standard deviation, and statistical significance) • Probabilistic Approach: using cumulative distribution function Meead Saberi K. 24

  25. Segment Level Analysis of Travel Time Reliability Breaking the overall I-5 NB freeway into shorter segments; this study shows how travel time reliability can vary across freeway segments using different reliability measures. Meead Saberi K. 25

  26. Segment Level Analysis of Travel Time Reliability • Segment ranking based on travel time reliability • Reliability of corridor vs. segments Meead Saberi K. 26

  27. Helene Siri • Master Student in Civil engineering at the ENTPE • 5 month internship at the ITS Lab • Areas of Interest: • Traffic flow theory • Transportation Economics Helene Siri 27

  28. About the ENTPE • ENTPE : Civil engineering school (Lyon) • Structure, environment, urbanism and transportation • Transportation department at the ENTPE • LET (CNRS - University of Lyon II – ENTPE) • LICIT (INRETS – ENTPE) Helene Siri 28

  29. A practice study for ITS data aggregation • Loop Detector Data from lane 3 northbound station 20 on the I-880 freeway • Aggregation of data indifferent samplingperiods Helene Siri 29

  30. Net Speed Calculator • Net speed on a urban grid with different densities of intersections and different legal posted speed • Developing a program using Matlab to estimate Net speed Helene Siri 30

  31. Next step: • ITS Data Aggregation using NGSIM Data Helene Siri 31

  32. Jerzy Wieczorek • 2nd year M.S. Student in Statistics • ITS Research: • Historical and real-time bottleneck identification • Statistics Research: • Minimum Kolmogorov-Smirnov Estimation (MSKE) with censored data Jerzy Wieczorek 32

  33. Using speed data to track historical congestion and rank bottlenecks by cost Incorporating historical information into model to predict real-time bottleneck behavior Work with Prof. Bertini, Huan Li,Rafael J. Fernández-Moctezuma Bottleneck Identification Jerzy Wieczorek 33

  34. Expanding model to use volume data Validating against ground truth from Bertini-Cassidy method Work with Prof. Bertini, Huan Li,Rafael J. Fernández-Moctezuma Bottleneck Identification Jerzy Wieczorek 34

  35. Minimum K-S Estimation θ = 72.2 θ = 96.1 Choose distribution and parameter estimates that minimize the K-S statistic (max. vertical difference in CDFs) Work with Prof. Kim Jerzy Wieczorek 35

  36. Minimum K-S Estimation Extend to censored data Evaluate in comparison with MLEs (standard) Create R library if worthwhile Work with Prof. Kim Jerzy Wieczorek 36

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