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This book provides an overview of active transportation and demand management, including definitions, methodologies, and analysis of software results. It also explores the future of ATDM and its implications for transportation planning.
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Active Transportation and Demand Management By Megan McGinley
Overview • What is Active Transportation and Demand Management? • Definition & Purpose • Methodology • Dr. Washburn’s ATDM Software • How it Works • Demo • Analysis of Software Results • Comparisons with NC State • Significant Changes • Results Verification • The Future of ATDM
Definition & Purpose • “Active Transportation and Demand Management (ATDM) is the dynamic management, control, and influence of travel demand, traffic demand, and traffic flow of transportation facilities.” • “Using archived data and/or predictive methods, actions are performed in real-time to achieve or maintain system performance.” • Take Away: A better strategy for evaluating a facility with varying factors such as demand, weather, incident and work zone presence.
Quantifying ATDM • ATDM Strategies • Roadway Metering • Congestion Pricing • Traveler Information • Managed Lanes • Speed Harmonization • Signal Timing • Scenario Specific Management Plan • Performance Measures • Vehicle Miles Traveled – Demanded • Vehicle Miles Traveled – Served • Vehicle Hours Traveled (VHT) • Vehicle Hours Delay (VHD) • Measures of Effectiveness • Person Miles Traveled (PMT) • Average Speed (MPH) • Planning Time Index (PTI)
Methodology Evaluating the impacts of implemented ATDM strategies.
Dr. Washburn’s ATDM Software To be used with HCM 2010 and Freeway Facilities
How it Works • Define Scope • Study period, analysis period, study section, analysis section • Scenario Selection • 10,192 Possibilities summing to 100% Probability • 7 Demand Levels (d) • 16 Weather Variations (w) • 13 Incident Variations (i) • 7 Work Zone Variations (wz) • P(d, w, i, wz) = P(d) * P(w) * P(i) * P(wz)
How it Works • Choose ATDM Strategies • Option to select more than one • Run Analysis
How it Works • Individual Scenario Results
Comparison with NC State • Their program: FREEVAL • Need for Reliability Measures • Travel Time Index (TTI) • Planning Time Index (PTI)
Significant Changes • ATDM Software – New Inclusions • Travel Time Index(TTI) – the ratio of travel time on a facility to theoretical travel time at FFS. • 80th% TTI and 95th% TTI Algorithm Implementation • Minimums and Maximums of Performance Measures
Significant Changes • Freeway Facilities • Updated Equations. Now Segment Speed accounts for Speed Adjustment Factors • SAF present for certain weather, incident, and work zone conditions.
Significant Changes • Freeway Facilities • Performance Measures Results Tabs with conditional formatting • Shown: Results from a Pipe Incident with a single lane closure in Segment 19 from Time Periods 3-10.
Results Verification ATDM Software Excel
Future of ATDM • Analysis framework incorporation into new HCM update • ATDM Software • 144 scenario analysis • More reliability measures
Bridge Loading of Permit Trucks By meganmcginley
Background • FDOT concerned with multiple permit trucks on bridges at the same time • Permit truck > 80,000 lbs. • Previous project conducted a few years back • Goal: analyze headway between successive trucks and determine the probability of more than one permit truck crossing a bridge at the same time.
Data Acquisition and Analysis • Multiple Weigh-in-Motion stations across Florida • Records weight and time gap of vehicles • FDOT data from 4 years • 3,164,074 total permit trucks • 68,504,426 total trucks • Headway Groups • Trucks traveling in the same direction • 3.5 second headway threshold • Trucks traveling in opposite directions • 1.75 second headway threshold