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9 - TTC - Transportation and Traffic Control


TTC 102 - Traffic Flow Theory for Intelligent Transportation Systems

Code Start Date Duration Venue Fees
TTC 102 07 September 2019 5 Days Istanbul $ 2950 Registration Form Link
TTC 102 05 October 2019 5 Days Istanbul $ 2950 Registration Form Link
TTC 102 09 November 2019 5 Days Istanbul $ 2950 Registration Form Link
TTC 102 07 December 2019 5 Days Istanbul $ 2950 Registration Form Link
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Course Description

 Emerging issues in traffic engineering. Intelligent transportation systems (ITS). Traffic stream parameters. Statistical distributions used in traffic engineering. Methods for dealing with freeway and arterial congestion. Arterial design and management. Traffic simulation. Accident studies and safety counter measures. Introduction of various traffic engineering softwares.

Traffic stream characteristics and models. Microscopic and macroscopic flow, density and speed characteristics. Temporal, spatial, and modal flow patterns. Speed characteristics under uninterrupted flow conditions. Time and distance headway characteristics, headway distributions. Car following theory, traffic stability, shock waves. Human factors; discrete driver-performance, continuous driver performance, braking performance, speed and acceleration performance, and specific maneuvers at the guidance level. Response distances and times to traffic control devices. Obstacle and hazard detection, recognition, and identification. Gap acceptance and merging.

The time space diagrams and its applications. Cumulative plots and its relationship to the time space plots. Optimization of traffic flow and convex programming. Traffic modeling for intelligent transportation systems: Hydrodynamic and kinematic models, continuity equation, waves in traffic, platoon diffusion. Simulation of traffic flow and traffic flow models. Control formulations for corridor and network systems with freeways. Real-time control and demand management. Design and analysis of ITS using microscopic traffic simulation packages. Analysis of advanced traffic management systems (ATMS): freeway control and arterial control for ATMS. Ramp metering. Incident management. Advanced Public Transportation Systems.

Course Objectives

  • Describing the interactions between the vehicles, their operators and the roadway system.
  • Introducing the fundamental concepts and methods of traffic engineering, operations and control
  • Providing basic skills in the traffic engineering design and analysis of highway facilities
  • Providing the tools and methods to understand, analyze, plan, design, operate, and control complex Intelligent Transportation Systems

 

Course Overview

  •  Introduction to Traf.  Engg., Emerging Issues in Traff. Engg.
  • Traffic Stream Characteristics
  • Introduction to Traffic Flow Theory
  • Statistical Applications in Traffic Engineering
  • Time headways and time headway distributions, Classification of time headway distributions, Random headway state, Constant headway state, Intermediate headway state, Evaluating and selecting mathematical distributions, Selected applications.
  • Temporal flow patterns, Spatial flow patterns, Modal flow patterns, Mathematical count distributions, Estimating hourly flow rates, Uninterrupted traffic applications, Interrupted traffic applications, Traffic flow theories, Macroscopic traffic flow theory-kinematic waves in traffic, Shock waves, Flow versus concentration relationships.
  • Vehicular speed characteristics, Speed characteristics under uninterrupted flow conditions, Mathematical distributions, Evaluation and selection of mathematical distributions, Estimation of population means and sample sizes
  • Distance headway characteristics, Car-following theories, Car-following theory application, Traffic Stability, Measurements with presence-type detectors.
  • Historical development, Density measurement techniques, Density contour maps, Introduction to shock waves, Estimating total travel time, Estimating traffic demand

Who Should Attend?

  • Managers
  • Supervisors
  • Traffic engineers
  • Constructors
  • Anyone involved in planning, designing or maintaining traffic operations in İntelligent Transportation Systems.

Course Details/Schedule

Day 1

  •  Introduction to Traf.  Engg., Emerging Issues in Traff. Engg.
  • Traffic Stream Characteristics
  • Introduction to Traffic Flow Theory
  • Statistical Applications in Traffic Engineering 

Day 2

  •  Time headways and time headway distributions
  • Classification of time headway distributions
  • Random headway state
  • Constant headway state, Intermediate headway state
  • Evaluating and selecting mathematical distributions
  • Temporal flow patterns
  • Spatial flow patterns
  • Modal flow patterns
  • Mathematical count distributions
  • Estimating hourly flow rates
  • Uninterrupted traffic applications
  • Interrupted traffic applications
  • Traffic flow theories
  • Macroscopic traffic flow theory-kinematic waves in traffic, Shock waves, Flow versus concentration relationships.

Day 3

  • Vehicular speed characteristics
  • Speed characteristics under uninterrupted flow conditions
  • Mathematical distributions
  • Evaluation and selection of mathematical distributions, Estimation of population means and sample sizes
  • Distance headway characteristics
  • Car-following theories, Car-following theory application
  • Traffic Stability
  • Measurements with presence-type detectors

Day 4

  • Historical development
  • Density measurement techniques
  • Density contour maps, Introduction to shock waves
  • Estimating total travel time, Estimating traffic demand

Day 5

  • Simulation of traffic flow and traffic flow models
  • Control formulations for corridor and network systems with freeways
  • Real-time control and demand management
  • Design and analysis of ITS using microscopic traffic simulation packages
  • Analysis of advanced traffic management systems (ATMS)
  • Freeway control and arterial control for ATMS. Ramp metering. Incident management. Advanced Public Transportation Systems