Traffic and Transit Analysis with AIMSUN NG

1
Traffic and Transit Analysis with AIMSUN NG
Jia Hao Wu, Ph.D. TJKM Transportation
Consultants Email jhwu_at_tjkm.com
Presented at San Francisco Bay Area ITE
Luncheon January 19, 2006
2
A Simulation and Modeling Tool

• Developed by Traffic Simulation Systems (TSS) in
  Spain and a participant in the FHWA NGSIM Program
• Easy and Powerful
• Urban, non-urban, public transport
• Actuated controls, VMS, ramp meters, transit
  priority, ATMS
• Dynamic route choice, path assignment
• Transportation planning applications OD matrix
  adjustment/estimation
• Parallel processing and distributed computing

3
A Simulation and Modeling Tool

• Quick model creation
• Import directly from SATURN, EMME/2, GIS,
  PARAMICS, CONTRAM, CUBE, and Synchro
• Export to Internet
• Export any data in view to other applications
  Word, Excel etc.

4
Model Building

• No limits to network size
• Easy to use graphical tools
• Unlimited edit/undo operations on all network
  elements
• Multiple views concurrently in 2D and 3D
• Accurate representation
• Import overhead photographs
• AutoCAD formats DXF, DWG
• Shapefiles

5
A Unified Macro and Micro System
6
Import Aerial Photo and AutoCAD
7
Bus Lines

• Sections
• Assigned Stops
• Time Tables
• Departure Schedules

8
Bus Stops

• Normal
• Bus Bay
• Bus Terminal

9
Transit Features

• Bus, trams, trains
• Lines, stops and terminals
• Reserved lanes
• Time tables
• Bus preemption

10
Define Traffic Control
11
Define Traffic Demand in Trips
12
Define Vehicle Ped. Demand
13
Model Analysis Output and MOE

• Mean Flow
• Speed and Density
• Travel Time, Delay Time
• Stop Time, stops
• Mean, Max. Queue
• Fuel Consumption
• Pollution Emission

• Whole Network
• Road/Turns
• Corridors
• O-D Pairs
• Transit Lines
• Detections

Multiple formats databases, text, etc.
14
AIMSUN NG- Numerical Results
15
Model Calibration

• Verification of data inputs
• Verification of model behavior
• Critical step in simulation and modeling
• AIMSUN variety of tools
• Qualitative and intuitive
• Observed data (counts and GPS speeds)
• Global and local statistics

16
Simulated vs. Real Data on I-880
17
Speed-Flow Relationship
18
Some Applications of AIMSUN NG
19
Actuated System with LRT Preemtion
3D
2D
20
3D Pedestrian Actuated Signals
21
TJKM Simulation Applications

• Menlo Park signal feasibility study
• Traffic management plan for I-880
• Cross-Connector Study for I-880 and I-680
• City of Vallejo parkway improvement study

22
Other Transit Applications..
23
..Some Transit Applications
24
Otley Road, Leeds
25
Leeds Supertram and Others
26
Auckland, New Zealand
27
(No Transcript)
28
Conclusions and Lessons

• Mini-calibrate both traffic demand models and
  micro-simulation models
• Compare results extensively
• Review networks and regional demand
• Use good input data for operational studies
• Balance the budget, schedule and quality

29
(No Transcript)