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Pollutant Emissions and DRT Systems Towards the Integration of a Spatial Dimension in the Estimations Julie Prud’homme, Didier Josselin, JagannathAryal julie.prud-homme@etd.univ-avignon.fr UMR ESPACE – CNRS 6012 – University of Avignon
Outline Introduction  Simulation and results Conclusions 2
Introduction
Cumul des émissions 4
5
6
7
8
9
10
11
12
13
Emission Models MEET (Methodology of Emission Estimation from Transports) set up at the conclusion of an European collaboration [J.Hickmanet al. (2003)] GREEN-DRT model (Geographical Reasoning on Emission Estimation from transports based on road Network shape) adapted from MEET [J.Prud’homme (2011)] 14
Calculation of Start Emissions 15
Consideration of the Road Network in the Calculation of Emissions in Traffic 16
17
18 Calculation of Unit Emissions A fair repartition of emissions EC2= ES4/2 + ES5+ (ES1 + ES2 + ES6 )/2 Emissions in service Cumulative emissions S1 S2 S3 S4 S5 S6 Emissions without client Sections of journey Effective emissions EC1= ES3+ ES4/2 +(ES1 + ES2 + ES6 )/2
Simulations and results
Workflow of GREEN-DRT Model 20
21 Simulations
Simulations Simulation of a DRT in three different scales (different density of stops) 22 Level 1 : Britany 34 stops ; 0.0013 stop/km² Scale = 1:7500000  Level 2 : Agglomeration of Rennes 33 stops ; 0.054 stop/km² Scale = 1:800000  Level 3 : City of Rennes  79 stops ; 1.58 stop/km² Scale = 1:130000
Simulations Scalability(number of client demands) Grouping rate (deviation time allowed) Unlimited number of vehicle in fleet 50% gasoline, 50% diesel 23
Results y = 29,47x-1,298
R² = 0,7953 y = 47,559x-1,411
R² = 0,7356 Confirmation of a reduced vehicles number and emissions with the increased grouping rate 24 Grouping average in actual DRT services in Europe 1,3 2 1,3 2
Results 25 ,[object Object],[object Object]
Breaking point of efficiency,[object Object]
Conclusions DRT : a solution for an economy of pollutants and vehicle in traffic Grouping ,[object Object]
increase of distance travelled by vehicles
dependent on characteristics of the road network   « environmental » threshold 28

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Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport

  • 1. Pollutant Emissions and DRT Systems Towards the Integration of a Spatial Dimension in the Estimations Julie Prud’homme, Didier Josselin, JagannathAryal julie.prud-homme@etd.univ-avignon.fr UMR ESPACE – CNRS 6012 – University of Avignon
  • 2. Outline Introduction Simulation and results Conclusions 2
  • 5. 5
  • 6. 6
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. 13
  • 14. Emission Models MEET (Methodology of Emission Estimation from Transports) set up at the conclusion of an European collaboration [J.Hickmanet al. (2003)] GREEN-DRT model (Geographical Reasoning on Emission Estimation from transports based on road Network shape) adapted from MEET [J.Prud’homme (2011)] 14
  • 15. Calculation of Start Emissions 15
  • 16. Consideration of the Road Network in the Calculation of Emissions in Traffic 16
  • 17. 17
  • 18. 18 Calculation of Unit Emissions A fair repartition of emissions EC2= ES4/2 + ES5+ (ES1 + ES2 + ES6 )/2 Emissions in service Cumulative emissions S1 S2 S3 S4 S5 S6 Emissions without client Sections of journey Effective emissions EC1= ES3+ ES4/2 +(ES1 + ES2 + ES6 )/2
  • 22. Simulations Simulation of a DRT in three different scales (different density of stops) 22 Level 1 : Britany 34 stops ; 0.0013 stop/km² Scale = 1:7500000 Level 2 : Agglomeration of Rennes 33 stops ; 0.054 stop/km² Scale = 1:800000 Level 3 : City of Rennes 79 stops ; 1.58 stop/km² Scale = 1:130000
  • 23. Simulations Scalability(number of client demands) Grouping rate (deviation time allowed) Unlimited number of vehicle in fleet 50% gasoline, 50% diesel 23
  • 24. Results y = 29,47x-1,298 R² = 0,7953 y = 47,559x-1,411 R² = 0,7356 Confirmation of a reduced vehicles number and emissions with the increased grouping rate 24 Grouping average in actual DRT services in Europe 1,3 2 1,3 2
  • 25.
  • 26.
  • 27.
  • 28. increase of distance travelled by vehicles
  • 29. dependent on characteristics of the road network « environmental » threshold 28
  • 30. Pollutant Emissions and DRT Systems Towards the Integration of a Spatial Dimension in the Estimations Julie Prud’homme, Didier Josselin, JagannathAryal julie.prud-homme@etd.univ-avignon.fr UMR ESPACE – CNRS 6012 – University of Avignon