1 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 Center for Advanced Transportation Education and Research University of Nevada, Reno 2014 ITE Intermountain Section Annual Meeting 2 Outline Volume application Problem statement Proposed methods Case study intersections Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 3 Turning Movement Volume Applications Intersection operational analyses Traffic safety studies Travel demand modeling Identifying critical flow time periods … Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 4 Loop Detector Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 5 Loop Detector Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 6 What is the current practice? Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 7 Loop Detector Data , Aggregated Volume Report Detectors Date/Time 9 10 11 12 5 6 7 8 46 KIETZKE & MOANA 6/12/2013 6:00:00AM 29 33 45 41 0 0 0 0 6/12/2013 6:15:00AM 26 36 39 37 0 0 0 0 6/12/2013 6:30:00AM 33 32 57 53 0 0 0 0 6/12/2013 6:45:00AM 46 67 89 87 0 0 0 0 . . . . . . . . . . . . . . . . . . . . ; ; ; ; ; ; ; ; ; ; Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 8 Loop Detector Data, High Resolution Sample data collected from the data communication adaptor Center for Advanced Transportation Education and Research University of Nevada, Reno Data Communication Adaptor Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 Collecting intersection Volume in Nevada Manual • Expensive • Time assuming • Not continuous Automatic • Not possible in shared using lanes loops Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 9 10 Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes Departure detector Network Equilibrium (NE) Volume and Queue Length of Shared Lanes (VQ) • Only high resolution data • Both stop bar and departure detectors are necessary • Aggregated or high resolution data • 1 min aggregated data or high resolution data Flow Characteristics of Shared Lanes (FC) • Only high resolution data Observed proportions in the field (OP) • Aggregated or high resolution data Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 11 Network Equilibrium (NE) Intersection j Intersection i 𝑡 𝑊𝑇𝑖𝑡 = −𝑁𝐿𝑡𝑖 − 𝑆𝑅𝑖𝑡 + 𝑊𝑅𝑗𝑡+∆𝑡 + 𝑊𝑇𝑗𝑡+∆𝑡 + 𝑊𝐿𝑗𝑡+∆𝑡 − 𝛿𝑖𝑗 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 12 Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes Departure detector Network Equilibrium (NE) Volume and Queue Length of Shared Lanes (VQ) • Only high resolution data • Both stop bar and departure detectors are necessary • Aggregated or high resolution data • 1 min aggregated data or high resolution data Flow Characteristics of Shared Lanes (FC) • Only high resolution data Observed proportions in the field (OP) • Aggregated or high resolution data Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 Volume and Queue Length of Shared Lanes (VQ) 𝑡 •𝑟𝑠,𝑎 = 13 𝑣𝑠𝑡 𝑣𝑎𝑡 𝑡 𝑡 •𝑟𝑟,𝑡 (𝑜𝑟 𝑟𝑙,𝑡 )= 𝑣𝑟𝑡 (𝑜𝑟 𝑣𝑙𝑡 𝑣𝑡𝑡 𝑡 𝑡 𝑡 •𝑟𝑟,𝑡 (𝑜𝑟 𝑟𝑙,𝑡 ) = 𝑓(𝑟𝑠,𝑎 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 14 Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes Departure detector Network Equilibrium (NE) Volume and Queue Length of Shared Lanes (VQ) • Only high resolution data • Both stop bar and departure detectors are necessary • Aggregated or high resolution data • 1 min aggregated data or high resolution data Flow Characteristics of Shared Lanes (FC) • Only high resolution data Observed proportions in the field (OP) • Aggregated or high resolution data Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 Flow Characteristics of Shared Lanes (FC) 15 𝑃 𝑡𝑖,𝑟 𝑜𝑟 𝑃 𝑡𝑖,𝑙 = 𝑓(ℎ𝑖 , ℎ𝑓𝑖 , 𝑐𝑝𝑖 , 𝑐𝑡𝑖 , 𝑐𝑓𝑖 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 16 Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes Departure detector Network Equilibrium (NE) Volume and Queue Length of Shared Lanes (VQ) • Only high resolution data • Both stop bar and departure detectors are necessary • Aggregated or high resolution data • 1 min aggregated data or high resolution data Flow Characteristics of Shared Lanes (FC) • Only high resolution data Observed proportions in the field (OP) • Aggregated or high resolution data Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 17 Considerations Departure detector Network Equilibrium (NE) Volume and Queue Length of Shared Lanes (VQ) • Not applicable in Nevada • Significant trip generator between intersections • Downstream intersection Flow Characteristics of Shared Lanes (FC) • Not applicable if left turn is not protected • Pedestrian • Turning radius Observed proportions in the field (OP) • High variances in different hours, days, weeks, or seasons Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 20 Making the Models Regression Genetic Programming Center for Advanced Transportation Education and Research University of Nevada, Reno • User must specify the structure of the model • GP automatically evolves both the structure and the parameters Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 21 What does GP do? Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 22 What does GP do? x 3 8 18 32 12 21 7 16 2 . . . Center for Advanced Transportation Education and Research University of Nevada, Reno y 5 14 2 11 10 6 4 24 9 . . . z 5.830952 16.12452 18.11077 33.83785 15.6205 21.84033 8.062258 28.84441 9.219545 . . . Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 23 How GP Works? GP is based on evolution process, (cross over, mutation, and elitism) We can use ready applications Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 24 GPTIPS Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 25 R Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 26 Accuracy 𝑀𝐴𝑃𝐸 % = 𝑛 𝐷𝑖 −𝐵𝑖 𝑖=1 𝐵 𝑖 𝑛 MAPE: Mean Absolute Percentage Error Di: the detector data value Bi: the reference (base) data value n: the total number of intervals Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 27 Case Study Intersections 9th St. and Sierra St. 8th Street and Center Street N McCarran Blvd and Clear Acre Ln Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 28 Sample of data collected for VQ method 1 6 25 0.24 3 0.50 2 7 18 0.39 5 0.71 3 6 13 0.46 4 0.67 4 18 21 0.86 18 1.00 5 7 16 0.44 5 0.71 . . . . . . . . . . . . . . . . . . Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 29 Sample of data collected for FC method 1 0 0 1 c c T 1 2.24 2.24 2 c c R 1 2.31 4.55 3 t c T 1 3.01 5.32 4 c t T . . . . . . . . . . . . . . . . . . . . . Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 30 Models NE VQ MODELLING METHOD Regression GP N MCCARRAN BLVD/CLEAR ACRE LN Not applicable Not applicable Analytical Calculation Not applicable due to uncontrolled south bound right turn 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 Not applicable due to no existing same-direction adjoining lane Not applicable Not applicable Analytical Calculation Regression 𝑃(𝑡𝑙 ) = 𝑒 12.6−3.6ℎ𝑖 * 1+𝑒 12.6−3.6ℎ𝑖 9TH ST/ SIERRA ST 8TH ST/ CENTER ST Not applicable Not applicable Not applicable Not applicable 𝐸𝑅𝑖𝑡 = −𝑆𝑅𝑗𝑡 − 𝑆𝑇𝑗𝑡 + 𝑆𝑇𝑖𝑡 + 𝑊𝐿𝑡𝑖 Not applicable due to downstream un-signalized intersection 𝐸𝑇𝑖𝑡 = −𝐸𝑇𝑘𝑡 −𝐸𝐿𝑡𝑘 − 𝐸𝑅𝑘𝑡 + 𝑆𝐿𝑡𝑖 + 𝑁𝑅𝑖𝑡 𝑃(𝑡𝑟 ) = 𝑒 9.2−2.7ℎ𝑖 * 1+𝑒 9.2−2.7ℎ𝑖 𝑃(𝑡𝑙 ) = −3 + FC GP Analytical Calculation 2.8 ℎ𝑖 − 3.8 + 0.1 𝑒 ℎ𝑖 − 0.1 ℎ𝑖 2 * Not applicable Center for Advanced Transportation Education and Research University of Nevada, Reno 𝑃(𝑡𝑟 ) = 1.5 + 1.2 ℎ𝑖 * ℎ𝑖 −5.6 Not applicable 𝑡 𝑡 𝑟𝑟,𝑡 = 0.2 + 0.6 𝑟𝑠,𝑎 𝑡 𝑟𝑟,𝑡 𝑡 = 4.55 + 2.5 𝑟𝑠,𝑎 𝑡 𝑡 − 3.75 𝑒 −𝑟𝑠,𝑎 + 0.25 𝑟𝑠,𝑎 2 Not applicable 𝑃(𝑡𝑟 ) = 𝑒 6−1.8ℎ𝑖 * 1+𝑒 6−1.8ℎ𝑖 𝑃(𝑡𝑟 ) = 0.8 + 0.2 ℎ𝑖 − 0.03 𝑒 ℎ𝑖 * Not applicable Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 31 Results MAPE (%) MODELLING METHOD INTERSECTIO N TURNING RADIUS (FT) TIME INTERVAL Analytical Regression GP Calculation 8th St and Center St FLOW CHARACTERISTIC S (FC) 9th St and Sierra St McCarran Blvd and Clear Acre Ln VOLUME AND QUEUE (VQ) 8th St and Center St NETWORK EQUILIBRIUM (NE) 9th St and Sierra St Center for Advanced Transportation Education and Research University of Nevada, Reno 16 35 100 Vehicle by Vehicle 20 14 - Hourly Average 8 7 - Vehicle by Vehicle 21 20 - Hourly Average 3 5 - Vehicle by Vehicle 28 25 - Hourly Average 27 15 - Vehicle by Vehicle 17 15 - Hourly Average 4 1 - Vehicle by Vehicle - - - Hourly Average - - 1 Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 32 Results Mean Absolute Percentage Error (MAPE) percent 30% Regression MAPE 25% GP MAPE 20% Analytical MAPE 15% 10% 5% 0% Vehicle by Vehicle Hourly Average 8th St and Center St Vehicle by Vehicle Hourly Average 9th St and Sierra St Flow Characteristics (FC) Center for Advanced Transportation Education and Research University of Nevada, Reno Vehicle by Vehicle Hourly Average McCarran Blvd and Clear Acre Ln Vehicle by Vehicle Hourly Average 8th St and Center St Vehicle by Vehicle Hourly Average 9th St and Sierra St Volume and Queue (VQ) Network Equilibrium (NE) Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 33 Errors using inadequate data are much less than those using no data at all. Charles Babbage in 1860 Considered “father of the computer” Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012 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 Center for Advanced Transportation Education and Research University of Nevada, Reno Project Panel Meeting Meeting 2014 ITE Intermountain Section Annual March 27, 1012