CEE 320 Spring 2007 Traffic Detection Systems CEE 320 Steve Muench.

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Presentation transcript:

CEE 320 Spring 2007 Traffic Detection Systems CEE 320 Steve Muench

CEE 320 Spring 2007 Outline 1.What are traffic detectors? 2.Traffic detector importance 3.Detector types 4.Use Example

CEE 320 Spring 2007 What Are Traffic Detectors?

CEE 320 Spring 2007 Traffic Detection Systems Structure DetectorProcessor/ControllerStorage

CEE 320 Spring 2007 Why Is Traffic Detection Important?

CEE 320 Spring 2007 Why Is Traffic Detection Important? Freeway Monitoring

CEE 320 Spring 2007 Why Is Traffic Detection Important? Actuated Signal Control

CEE 320 Spring 2007 Why Is Traffic Detection Important? Ramp Meter Control

CEE 320 Spring 2007 Why Is Traffic Detection Important? Road Discipline Enforcement

CEE 320 Spring 2007 Why Is Traffic Detection Important? Dynamic Traffic Assignment

CEE 320 Spring 2007 Why Is Traffic Detection Important? Quality Data Control Center E-Message Sign ATIS !!

CEE 320 Spring 2007 Traffic Detector Types Inductive loops Video Microwave Infrared Acoustic Radar Magnetic Radio frequency Global positioning system (GPS)

CEE 320 Spring 2007 Share of Detector Types at new ATMS Sites

CEE 320 Spring 2007 Popular Traffic Detector Types Inductive loopsVideo Image Processors (VIPs)

CEE 320 Spring 2007 Popular Traffic Detector Types Remote Traffic Microwave Sensor (RTMS) Photos and picture from Electronic Integrated Systems, Inc.

CEE 320 Spring 2007 Popular Traffic Detector Types Infrared Sensors Magnetic Sensors

CEE 320 Spring 2007 Popular Traffic Detector Types Radio Frequency Tag

CEE 320 Spring 2007 Popular Traffic Detector Types ASIM TT 298: Doppler RADAR, ultrasonic, passive infrared. Volume, classification, speed, occupancy, queue detection, wrong-way

CEE 320 Spring 2007 Popular Traffic Detector Types ASIM TT 298: Doppler RADAR, ultrasonic, passive infrared.

CEE 320 Spring 2007 Popular Traffic Detector Types Intersection Control Traffic Data Acquisition = infrared (counting) = ultrasonic (vehicle height) = microwave doppler radar (speed)

CEE 320 Spring 2007 Popular Traffic Detector Types GPS-Based Tracking Systems

CEE 320 Spring 2007 Inductance Loop Detectors Most popular Photos from Never Fail Loop Systems, Inc.

CEE 320 Spring 2007 Inductance Loop Detectors

CEE 320 Spring 2007 Inductance Loop Detectors A Schematic Diagram The inductance seen at the loop terminals is modified by the capacitance and results in an inductance which increases with increased operating frequency.

CEE 320 Spring 2007 Loop Detector Signatures

CEE 320 Spring 2007 Inductance Loop Detectors Traffic Control Cabinet Lead-In Cable DEUs Field Component Loop wires Pull Box

CEE 320 Spring 2007 Inductance Loop Detectors

CEE 320 Spring 2007 Inductance Loop Detectors Loop inductance decreases when a car is on top of it. T = t on T = t off Inductance Time t off t on 0

CEE 320 Spring 2007 Inductance Loop Detectors Single loops can measure: –Occupancy (O): % of time loop is occupied per interval –Volume (N): vehicles per interval Single loop measurements? Time Inductance High low TnTn T n+1 t n1 t n2 t n3

CEE 320 Spring 2007 Dual Loop Detector Formed by two consecutive single loop detectors placed a short distance apart l dist l loop

CEE 320 Spring 2007 Dual Loop Detectors Dual loop measurements T = t 1 l dist T = t 2 l loop Measured vehicle lengths are used to classify vehicles into different categories, such as long and short. ot i = on-time for loop detector i

CEE 320 Spring 2007 Inductance Loop Detectors Loop s Station cabinet TSMC measured data per 20 sec. real time measurements queried 20 sec data (e.g. 0:00:00 3, :00:20 2, 0.65) User Only 20 sec aggregated data are available from TSMC

CEE 320 Spring 2007 Can We Get Speed from a Single Loop? Perhaps… s=speed (ft/sec) EVL=effective vehicle length (ft) toto =occupancy time (s) EVL ~ vehicle length + detector length

CEE 320 Spring 2007 Can We Get Speed from a Single Loop? Using typical traffic data s=speed (miles/hr) N=number of vehicles in the observation interval T=observation interval (s) O=percentage of time the loop is occupied by vehicles during the observation interval (occupancy) g=speed estimation parameter 100 converts percent to decimal

CEE 320 Spring 2007 Inductance Loop Detectors

CEE 320 Spring 2007 Video Image Processors

CEE 320 Spring 2007 Video Image Processors

CEE 320 Spring 2007 A Use Example: Ramp Metering

CEE 320 Spring 2007 Ramp Meter Schematic Diagram from ITS Decision website

CEE 320 Spring 2007 Example: SR 520

CEE 320 Spring 2007 What is the Difference?

CEE 320 Spring 2007 Primary References Cosgrove, C. and Cutchin, C. (2003). ITS Decision. Website hosted by the California Center for Innovative Transportation at the University of California and Berkeley and Caltrans. Wang, Y. (2004). CEE 599F, Advanced Traffic Detection Systems Course Pak. Civil and Environmental Engineering, University of Washington.