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QUALITATIVE MODEL OF TRANSPORT
D.BALACHANDRAN
Transportation System
 Transportation System: Complex multi-dimensional
factors
 not easily determined, measured or estimated
directly
OBJECTIVE OF TRANSPORT
PLANNING & SIMULATION TOOL
 To represent with accuracy the underlying operation of
 the transport system
 (in terms of traffic conditions and travel patterns)
 To create reliable mathematical models for testing
 different / various schemes at the base year (underlying)
 or at future years (planning horizons )
 These schemes pertain to be at the supply (new
 infrastructure, new mode, pedestrialization of roads etc)
 or the demand (car pooling, flexible working hours etc)
 side
Transportation Models
and Benchmarking Evaluation
 According to the HCM (2000) a transportation model
is:
 “A computer program that uses mathematical models to
conduct experiments with traffic events on a transportation
facility or system over extended periods of time”
Transportation Models Classification:
 According to their application area
 * According to the level of presentation of the
traffic flows
 * According to the time period of the analysis
Transportation Models
Classification
Macroscopic Models
 Take into account transportation network attributes
 such as capacity, speed limit, flow and density
 Simulate large scale facilities (highways, regions etc)
 No need to track individual vehicles (aggregate theory)
 No detailed information about road design and signal
 plans is needed
 CUBE, TRIPS and VISUM
Mesoscopic Models
 Take into account the actual road geometry and signal
 timing plans
 Simulate intersections in a corridor or city
 Simulate individual vehicles
 Describe activities based on aggregate or macroscopic
 level
 SATURN, CORSIM, TRANSCAD, EMME/3, AIMSUN
Microscopic Models
 Simulate characteristics and interactions of individual
 vehicles
 Study area: Intersection or a road segment
 (e.g. a corridor )
 Enclose theories and rules for vehicle acceleration,
 passing manoeuvres and lane-changing

 PARAMICS, VISSIM, AIMSUN
CONCLUSIONS
 Mobility Management seems to be adopted more and
more by local authorities
 It is important to have accurate estimations about
the most promising MMM “before moving out of the
office”
 The classical transportation planning theory cannot
include qualitative parameters especially from the
behavioural – psychology side

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Qualitative model of transport

  • 1. QUALITATIVE MODEL OF TRANSPORT D.BALACHANDRAN
  • 2. Transportation System  Transportation System: Complex multi-dimensional factors  not easily determined, measured or estimated directly
  • 3. OBJECTIVE OF TRANSPORT PLANNING & SIMULATION TOOL  To represent with accuracy the underlying operation of  the transport system  (in terms of traffic conditions and travel patterns)  To create reliable mathematical models for testing  different / various schemes at the base year (underlying)  or at future years (planning horizons )  These schemes pertain to be at the supply (new  infrastructure, new mode, pedestrialization of roads etc)  or the demand (car pooling, flexible working hours etc)  side
  • 4. Transportation Models and Benchmarking Evaluation  According to the HCM (2000) a transportation model is:  “A computer program that uses mathematical models to conduct experiments with traffic events on a transportation facility or system over extended periods of time”
  • 5. Transportation Models Classification:  According to their application area  * According to the level of presentation of the traffic flows  * According to the time period of the analysis
  • 7. Macroscopic Models  Take into account transportation network attributes  such as capacity, speed limit, flow and density  Simulate large scale facilities (highways, regions etc)  No need to track individual vehicles (aggregate theory)  No detailed information about road design and signal  plans is needed  CUBE, TRIPS and VISUM
  • 8. Mesoscopic Models  Take into account the actual road geometry and signal  timing plans  Simulate intersections in a corridor or city  Simulate individual vehicles  Describe activities based on aggregate or macroscopic  level  SATURN, CORSIM, TRANSCAD, EMME/3, AIMSUN
  • 9. Microscopic Models  Simulate characteristics and interactions of individual  vehicles  Study area: Intersection or a road segment  (e.g. a corridor )  Enclose theories and rules for vehicle acceleration,  passing manoeuvres and lane-changing   PARAMICS, VISSIM, AIMSUN
  • 10. CONCLUSIONS  Mobility Management seems to be adopted more and more by local authorities  It is important to have accurate estimations about the most promising MMM “before moving out of the office”  The classical transportation planning theory cannot include qualitative parameters especially from the behavioural – psychology side