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2014 ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Using Detector Information.

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Presentation on theme: "2014 ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Using Detector Information."— Presentation transcript:

1 2014 ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Using Detector Information to Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes Ali Gholami Center for Advanced Transportation Education and Research (CATER) Department of Civil & Environmental Engineering University of Nevada, Reno 1

2 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Outline  Volume application  Problem statement  Proposed methods  Case study intersections 2

3 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno   Intersection operational analyses   Traffic safety studies   Travel demand modeling   Identifying critical flow time periods  … Turning Movement Volume Applications 3

4 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Loop Detector 4

5 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Loop Detector 5

6 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno What is the current practice? 6

7 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Loop Detector Data, Aggregated 7

8 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Loop Detector Data, High Resolution 8 Sample data collected from the data communication adaptor Data Communication Adaptor

9 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno ExpensiveExpensive Time assumingTime assuming Not continuousNot continuous Manual Not possible in shared lanesNot possible in shared lanes Automatic using loops Collecting intersection Volume in Nevada 9

10 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Only high resolution dataOnly high resolution data Both stop bar and departure detectors are necessaryBoth stop bar and departure detectors are necessary Departure detector Aggregated or high resolution dataAggregated or high resolution data Network Equilibrium (NE) 1 min aggregated data or high resolution data1 min aggregated data or high resolution data Volume and Queue Length of Shared Lanes (VQ) Only high resolution dataOnly high resolution data Flow Characteristics of Shared Lanes (FC) Aggregated or high resolution dataAggregated or high resolution data Observed proportions in the field (OP) Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes 10

11 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Network Equilibrium (NE) 11 Intersection i Intersection j

12 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Only high resolution dataOnly high resolution data Both stop bar and departure detectors are necessaryBoth stop bar and departure detectors are necessary Departure detector Aggregated or high resolution dataAggregated or high resolution data Network Equilibrium (NE) 1 min aggregated data or high resolution data1 min aggregated data or high resolution data Volume and Queue Length of Shared Lanes (VQ) Only high resolution dataOnly high resolution data Flow Characteristics of Shared Lanes (FC) Aggregated or high resolution dataAggregated or high resolution data Observed proportions in the field (OP) Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes 12

13 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Volume and Queue Length of Shared Lanes (VQ) 13

14 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Only high resolution dataOnly high resolution data Both stop bar and departure detectors are necessaryBoth stop bar and departure detectors are necessary Departure detector Aggregated or high resolution dataAggregated or high resolution data Network Equilibrium (NE) 1 min aggregated data or high resolution data1 min aggregated data or high resolution data Volume and Queue Length of Shared Lanes (VQ) Only high resolution dataOnly high resolution data Flow Characteristics of Shared Lanes (FC) Aggregated or high resolution dataAggregated or high resolution data Observed proportions in the field (OP) Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes 14

15 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Flow Characteristics of Shared Lanes (FC) 15

16 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Only high resolution dataOnly high resolution data Both stop bar and departure detectors are necessaryBoth stop bar and departure detectors are necessary Departure detector Aggregated or high resolution dataAggregated or high resolution data Network Equilibrium (NE) 1 min aggregated data or high resolution data1 min aggregated data or high resolution data Volume and Queue Length of Shared Lanes (VQ) Only high resolution dataOnly high resolution data Flow Characteristics of Shared Lanes (FC) Aggregated or high resolution dataAggregated or high resolution data Observed proportions in the field (OP) Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes 16

17 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Not applicable in NevadaNot applicable in Nevada Departure detector Significant trip generator between intersectionsSignificant trip generator between intersections Network Equilibrium (NE) Downstream intersectionDownstream intersection Volume and Queue Length of Shared Lanes (VQ) Not applicable if left turn is not protectedNot applicable if left turn is not protected PedestrianPedestrian Turning radiusTurning radius Flow Characteristics of Shared Lanes (FC) High variances in different hours, days, weeks, or seasonsHigh variances in different hours, days, weeks, or seasons Observed proportions in the field (OP) Considerations 17

18 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Which method? NE (if there is not significant trip generator between intersections) 2- Departure Detectors (if high resolution data and departure detectors are available) 3- VQ (if at least 1 minute aggregate data is available) 4- FC (if high resolution data is available) 5- OP (if none of above methods are available)

19 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno 19

20 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Making the Models 20 User must specify the structure of the modelUser must specify the structure of the model Regression GP automatically evolves both the structure and the parametersGP automatically evolves both the structure and the parameters Genetic Programming

21 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno What does GP do? 21

22 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno What does GP do? 22 xyz

23 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno  GP is based on evolution process, (cross over, mutation, and elitism)  We can use ready applications How GP Works? 23

24 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno GPTIPS 24

25 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno R 25

26 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Accuracy 26

27 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Case Study Intersections 27 9 th St. and Sierra St. N McCarran Blvd and Clear Acre Ln 8 th Street and Center Street

28 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Sample of data collected for VQ method 28

29 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno 1001ccT ccR tcT ctT Sample of data collected for FC method 29

30 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno MODELLING METHOD N MCCARRAN BLVD/CLEAR ACRE LN 9 TH ST/ SIERRA ST8 TH ST/ CENTER ST NE RegressionNot applicable GPNot applicable Analytical Calculation Not applicable due to un- controlled south bound right turn Not applicable due to downstream un-signalized intersection VQ Regression Not applicable because the adjoining lane is also shared lane Not applicable due to no existing same-direction adjoining lane GP Not applicable due to no existing same-direction adjoining lane Analytical Calculation Not applicable FC Regression GP Analytical Calculation Not applicable Models 30

31 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno MODELLING METHOD INTERSECTIO N TURNING RADIUS (FT) TIME INTERVAL MAPE (%) RegressionGP Analytical Calculation FLOW CHARACTERISTIC S (FC) 8th St and Center St 16 Vehicle by Vehicle Hourly Average87- 9th St and Sierra St 35 Vehicle by Vehicle Hourly Average35- McCarran Blvd and Clear Acre Ln 100 Vehicle by Vehicle Hourly Average2715- VOLUME AND QUEUE (VQ) 8th St and Center St Vehicle by Vehicle Hourly Average41- NETWORK EQUILIBRIUM (NE) 9th St and Sierra St Vehicle by Vehicle --- Hourly Average--1 Results 31

32 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno Results 32

33 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno 33 Errors using inadequate data are much less than those using no data at all. Charles Babbage in 1860 Considered “father of the computer”

34 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting March 27, ITE Intermountain Section Annual Meeting Center for Advanced Transportation Education and Research University of Nevada, Reno 34 Thank you Any comments or questions? If we have data, let’s look at data. If all we have are opinions, let’s go with mine! Jim Barksdale, former Netscape CEO


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