Traffic Emission Prediction scheme (TEPs)

Traffic Emission Prediction scheme (TEPs)Traffic Emission Prediction scheme (TEPs)Traffic Emission Prediction scheme (TEPs)

Traffic Emission Prediction scheme (TEPs)

Traffic Emission Prediction scheme (TEPs)Traffic Emission Prediction scheme (TEPs)Traffic Emission Prediction scheme (TEPs)
  • Home
  • Features
    • TEPs-I: Traffic module
    • TEPs-II: emission module
    • Satellite data for TEPs
  • Applications
    • PECOUNT-I
    • PECOUNT-II
    • PRTCS
    • KCOUNT
    • OptimStation
  • Results
    • Case Studies
  • Publications
  • TEPs in other websites
  • More
    • Home
    • Features
      • TEPs-I: Traffic module
      • TEPs-II: emission module
      • Satellite data for TEPs
    • Applications
      • PECOUNT-I
      • PECOUNT-II
      • PRTCS
      • KCOUNT
      • OptimStation
    • Results
      • Case Studies
    • Publications
    • TEPs in other websites

  • Home
  • Features
    • TEPs-I: Traffic module
    • TEPs-II: emission module
    • Satellite data for TEPs
  • Applications
    • PECOUNT-I
    • PECOUNT-II
    • PRTCS
    • KCOUNT
    • OptimStation
  • Results
    • Case Studies
  • Publications
  • TEPs in other websites

PECOUNT-II

What is PECOUNT-II ?

 It is a spatio-temporal model for traffic volume prediction at stations with medium range traffic counts. 

Added advantage

It can handle situations with limited data availability thus avoiding the excessive number of parameters required by multivariate time series models.  

Model performance

This model was tested for several case studies in the City of Toronto. The result clearly showed that generated traffic volumes have a magnitude and variation similar to observed traffic counts. 

 .

Performance

Comparing simulated and predicted values

Great performance even along a highway

 This project was supported by The City of Toronto's Transportation Services Division  and Atmospheric Fund

 

Copyright © 2019 Traffic Emission Prediction scheme (TEPs) - All Rights Reserved.

Updated on Feb 28, 2019