Traffic Management and Incident Response Plans for Athens, Greece'

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• Traffic Management and Incident Response Plans
  for Athens, Greece.
• Louis Neudorff, PE

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TMS Athens - Project Scope (SIEMENS)

• Delivery and commissioning of 630 controllers
• Replacement of 3 UTC Systems
• Delivery and commissioning of VIDS (75 units)
• Delivery and commissioning of Traffic
  
  Management System (SI CONCERT)
  including
  integration of subsystems
• 180 CCTV
• 24 LED DMS
• 60 Loop Stations
• VIDS
• INTERNET and SMS application

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(No Transcript)
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TMS Athens - System Overview
Traffic Management Center
DMS Control
GIS Map
Database
Open Interface / Interface Converter (XML Based)
VideoDetection System
CCTV System
3 UTC Systems
Internet
DMS System
2 Loop Detection Systems
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CONCERT Incident Management
Incident Detection Algorithms and Video
Detection with CCTV Verification
Video Detection with Incident Detection /
Algorithms
Response Plans
Operator
Verification
Information to the User via Response Plans in
combination with DMS and Media
Urban Traffic Control
DMS
Emergency Calls
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Data Acquisition by Video Detection
CONCERT System
Video Detection Server
Uses Video Data for- Calculate travel times-
Sign control decisions- Input for Incident
Management Module
Provide Traffic Data- Speed- Occupancy- Volume
Cameras
Strategic Management
Provide Alarms - Incident Messages- Sudden
Speed Drop- Wrong Way Driver
- Verificcation using CCTV video images
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Incident Detection Algorithms

• VOccDiff
• California
• Vmin
• Transition Analysis
• Exponential Smoothing
• Speed Alarm (available from video detectors)
• ZOcc Alarm (available from video detectors)
• Speed Drop Alarm (available from video detectors)

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Speed-Occupancy-Difference

• Link related situation analysis
• German standard
• Calculation of the speed and density differences
  between two consecutive cross sections
• Can be calibrated automatically to consider
  normal differences of traffic flow at cross
  sections

Source Fritz Busch Automatische
Störungserkennung auf Schnellverkehrsstraßen -
ein Verfahrensvergleich. Dissertation, TU
Karlsruhe,1986
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Transition Indicator for Flow and Speed

• Detector related situation analysis
• Uses un-smoothed measurements
• Smoothing by the parameter n
• Detects transitions between traffic states

Source Youngho Kim Online Traffic Flow Model
Applying Dynamic Flow-Density Relations, Thesis,
Technical University Munich, 2002
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Results of Multiple Algorithms Combined Using
Fuzzy Logic
Fuzzy Logic allows

• A computer to model the real world the same way
  that people do.
• Get maximum benefit out of the existing traffic
  data.
• Derive one concise interpretation of the
  situation out of different inputs which lead for
  their own to results of different significance.
• Weight the different inputs, to consider
  different traffic situations.
• Get stable output despite fluctuations in the
  input variables.
• Reduce the number of false alarms.

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Single Detector Fuzzy Approach
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Input into Fuzzy

• Input results of local or link related traffic
  models, alarms and measurement data

Speed
VOccDiff
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Output of Fuzzy

• Incident Probability on link between two
  detectors
• An Incident Probability above threshold 1 gives
  warning message
• An Incident Probability above threshold 2 gives
  alarm message

Incident Probability
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Response Plans / STRAMO

• Logical Operation / Combinations of Variables
• IF, AND, OR, THEN, END IF
• Potential Triggers
• Time / Date (Events)
• Confirmed Incident
• Traffic Situation (LOS, Speed, Volume, Travel
  Times)
• Range or Threshold
• Parking Availability
• Time Interval During Which Threshold is Exceeded
• Status of System Devices (DMS)
• Current Response Plan
• Operator (Manual)

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Response Plans / STRAMO - Outputs

• CCTV Selection / Orientation
• DMS Messages
• Text / Speed Limit, Lane Control
• Signal Timing Plan
• Fax / Email Messages
• Operator Instruction Box / GUI
• Execute External Programs

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Sample STRAMO Logic
Sign Info
Situation Main Road
Occupancy PR Stadion
Situation City
Occupancy Parking City
Jam?
Jam?
Yes
Yes
full?
Yes
T 001
Yes
full?
high?
Yes
T 002
No
low
T 003
Yes
dense
Yes
Yes
T 004
full?
traffic?
Yes
T 005
high?
No
No
No
T 006
Yes
low
o.k.
Yes
T 007
full?
Yes
T 008
high?
T 009
Yes
low
A
Jam?
low
Ja
full?
T 010
Yes
Yes
T 011
high?
No
T 012
Yes
low
dense
Yes
Yes
T 013
full?
traffic?
Yes
T 014
high?
No
T 015
Yes
low
Yes
T 016
o.k.
full?
Yes
T 017
high?
T 018
Yes
low
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Sample STRAMO Logic Decision Tables
Traffic Situation at Main Road
True
Parking situation at the stadiun
Traffic situation in innercity
Parking situation in innercity
Action 1
DMS text, Signal Plans, Incident Report by Fax
/ email, etc.
Action 2
Action 3
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• Questions or Additional Information
• louis.neudorff_at_itssiemens.com