transpo 2012
DESCRIPTION
Transpo 2012. Utilization of ITS Data for off-Line and Real-Time Assessment of Transportation System Performance. Mohammed Hadi, Yan Xiao, Tao Wang Lehman Center for Transportation Research Department of Civil and Environmental Engineering Florida International University Miami, FL - PowerPoint PPT PresentationTRANSCRIPT
Transpo 2012
Mohammed Hadi, Yan Xiao, Tao Wang
Lehman Center for Transportation ResearchDepartment of Civil and Environmental Engineering
Florida International UniversityMiami, FL
October 30, 2012
Utilization of ITS Data for off-Line and Real-Time Assessment of Transportation System
Performance
BackgroundITS data can be used in combination with traffic
analysis, simulation modeling, data fusion/data mining and optimization for planning and operation
Real-time and Off-linePerformance measurements of transportation systemTransportation system modeling Benefits and costs assessment of ITS applications Associations of attributes utilizing data mining and
visualization methodsDecision support systemsPredictive travel time and impacts
ITSDCAP ComponentsITS Data Capture and Analysis of Performance
(ITSDCAP) Capture and fusion of data from multiple sourcesData mining Performance measurements and visualization ITS evaluation/benefit-cost analysisModeling and analysis supportDecision support systems to be incorporated
Data from Multiple SourcesSunGuide data (TSS, TVT data, incident, DMS,
etc.)InrixStatistics office dataCentral data warehouseWeather data Managed lane dynamic congestion pricing ratesWork zones Crash data/CARS511 dataFHP data
Data GroupingData grouping allow the extraction and archiving
of data based on different conditionsTime-of-day, working days/holidays, day of the weekSpecific segmentsSimilarity in traffic patterns IncidentsWeather conditionsWork zones
Progress Meeting
Selection based on Traffic Patterns
Performance MeasurementsMobility measures
Reliability measures
Environmental measures
Safety measures
4-8
Mobility and ReliabilityMobility measures: speed, density, queue
length/location, travel time, delay, vehicle-mile traveled (VMT), and vehicle-hour traveled (VHT)Alternative methods are incorporated to calculate
different measures based on point detector data and INRIX data. AVI data being incorporated and studied
Reliability measures: standard deviation/variance, Buffer Index, Failure/On-time performance, Planning Time Index based on the 95th or 80th percentile, Skew Statistics, and Misery IndexNew measures will potentially be incorporatedAt least one year of data
Safety and Environmental ImpactsSafety: Estimate a number of safety measures
including crash frequency by crash type, crash frequency by severity, total crash frequency, crash rate by type, crash rate by severity, and total crash rate
Energy and Emission: Currently based on Mobile 6. When emission rates based on MOVES are calculated for Florida they will be incorporated
4-11
Travel Time ComparisonI-95 NB from South of NW 62nd St. to Golden Glades
Interchange (Exit 12A)
9/1/2011
0
5
10
15
20
25
0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00
Trav
el T
ime
(Min
utes
)
Timestamp
TVT Link Travel Time
Inrix Travel Time
0
5
10
15
20
25
0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00
Trav
el T
ime
(Min
utes
)
Timestamp
TVT Link Travel Time
Inrix Travel Time
9/22/2011
4-13
4-14
4-15
4-16
IRISDS
Web-based real-time information sharing and decision support system Integrated Regional Information Sharing and Decision
Support system (IRISDS)
Proof of concept of two main components Information sharing (SunGuide C2C, transit AVL, INRIX)Decision support systems
IRISDS
Decision Support System
Incident impacts, impact index, and dashboardReal-time simulation of incidentsUtilizing bus travel time to estimate corridor travel timeEstimate diversion during incidents and potential
impacts on alternative routes
Prediction of Incident Impacts
The prediction of impacts based on measured incident attributes include:
Predict lane blockage duration Predict potential for secondary incidents Predict delays and queue lengths Assigns a severity Index to each incident based on the
impacts and user assessment of impact weights
Incident Impacts and Index