Estimating Travel Patterns on I ‐ 95 with Automated Technology NCAMPO Conference - Asheville, NC May 3, 2012 Taruna Tayal (M/A/B) Brian Wert (M/A/B) Bill Thomas (Baker)

What are we talking about? Purpose of the study Unique Features of the study Design and Data Collection Data Analysis and Summary Findings and Results ALPR to trip table

Purpose of the study Understand travel patterns on I-95 in NC Origin Destination study using Automated License Plate Recognition technology (ALPR) O-D flow table providing volume and percentage of trips by vehicle class between each station

Unique Features of the study Length of the corridor – 180 miles First study of this magnitude in US Data collected for two vehicle class – Passenger Cars – Trucks

Unique Features of the study Based on trip distance, studied 3 trip patterns: – External-External – External-Internal – Internal-Internal

Design & Data Collection 7 8 # Data collected at 10 locations – Eight on I-95 – One each on: I-40, and US hour tube class counts collected at each location

What is ALPR? Automatic License Plate Recognition Camera mounted on overhead bridge to capture license plate image

Data Collection 1 camera/lane/direction = 4 cameras/location 40 cameras for the entire study corridor

Data Collection Data collected for 30-hour period, capturing entire 24-hour day of movement for length of corridor.

RAW Data from Survey 40 x 40 OD matrix with plate matching at each site for PC and HV by hour 48-hour class tube counts at each site by direction by lane Table of total captured records at each site by lane by direction by hour.

Expansion Procedure Expanded captures to more closely match counts Utilized methodology from similar study Methodology combines: – Average of origin and destination capture rate – Product of origin and destination capture rate Augmented to use single factor along identity

ALPR Summary

Findings and Results Captured License plates for 65% of vehicles – 180,000 passenger vehicles – 47,000 heavy vehicles (20%) 75% of observations in central & southern corridor 35% of all “captured” vehicles observed at more than one location

Findings and Results % vehicles observed in the vicinity of the state lines traveled through survey area 35% of travel from internal/external of survey area Heavy vehicle usage similar to passenger cars 58% of surveyed vehicles registered out-of- state

Interesting results To SC LineFayettevilleRaleighVA LineOthersTotal From SC Line--9%3%19%69%100% Fayetteville4%--5%4%86%100% Raleigh1%4%--2%94%100% VA Line17%9%5%--69%100%

ALPR to Trip Table Expanded ALPR converted to trip table – Associate each loading point with an interchange along I-95 – Use local knowledge to establish weights for each loading point based on neighboring AADT and associated interchange volumes Calculate 71 by 71 seed matrix by applying weights to 20 x 20 ALPR OD Matrix

Road NameDescriptionExit #Yline CountsStationID (Loading Points)WestEastPercentages I-95SC border13400 I I I I-95New US I I-95Lumberton I-95Lumberton I I I I I-95I-95 BUS I-95Fayetteville I-95Fayetteville I-95Fayetteville I-95Fayetteville I-95Fayetteville ALPR to seed matrix

CONTACT