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

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Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport
Julie Prud'homme, Didier Josselin, Jagannath Aryal - University of Avignon

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

  1. 1. Pollutant Emissions and DRT Systems<br />Towards the Integration of a Spatial Dimension in the Estimations<br />Julie Prud’homme, Didier Josselin, JagannathAryal<br />julie.prud-homme@etd.univ-avignon.fr<br />UMR ESPACE – CNRS 6012 – University of Avignon<br />
  2. 2. Outline<br />Introduction <br />Simulation and results<br />Conclusions<br />2<br />
  3. 3. Introduction<br />
  4. 4. Cumul des émissions<br />4<br />
  5. 5. 5<br />
  6. 6. 6<br />
  7. 7. 7<br />
  8. 8. 8<br />
  9. 9. 9<br />
  10. 10. 10<br />
  11. 11. 11<br />
  12. 12. 12<br />
  13. 13. 13<br />
  14. 14. Emission Models<br />MEET (Methodology of Emission Estimation from Transports) set up at the conclusion of an European collaboration [J.Hickmanet al. (2003)]<br />GREEN-DRT model (Geographical Reasoning on Emission Estimation from transports based on road Network shape) adapted from MEET [J.Prud’homme (2011)]<br />14<br />
  15. 15. Calculation of Start Emissions<br />15<br />
  16. 16. Consideration of the Road Network in the Calculation of Emissions in Traffic<br />16<br />
  17. 17. 17<br />
  18. 18. 18<br />Calculation of Unit Emissions<br />A fair repartition of emissions<br />EC2= ES4/2 + ES5+ (ES1 + ES2 + ES6 )/2<br />Emissions in service<br />Cumulative emissions<br />S1<br />S2<br />S3<br />S4<br />S5<br />S6<br />Emissions without client<br />Sections of journey<br />Effective emissions<br />EC1= ES3+ ES4/2 +(ES1 + ES2 + ES6 )/2<br />
  19. 19. Simulations and results<br />
  20. 20. Workflow of GREEN-DRT Model<br />20<br />
  21. 21. 21<br />Simulations<br />
  22. 22. Simulations<br />Simulation of a DRT in three different scales (different density of stops)<br />22<br />Level 1 : Britany<br />34 stops ; 0.0013 stop/km²<br />Scale = 1:7500000 <br />Level 2 : Agglomeration of Rennes<br />33 stops ; 0.054 stop/km²<br />Scale = 1:800000 <br />Level 3 : City of Rennes <br />79 stops ; 1.58 stop/km²<br />Scale = 1:130000 <br />
  23. 23. Simulations<br />Scalability(number of client demands)<br />Grouping rate (deviation time allowed)<br />Unlimited number of vehicle in fleet 50% gasoline, 50% diesel<br />23<br />
  24. 24. Results<br />y = 29,47x-1,298R² = 0,7953<br />y = 47,559x-1,411R² = 0,7356<br />Confirmation of a reduced vehicles number and emissions with the increased grouping rate<br />24<br />Grouping average in actual DRT services in Europe<br />1,3<br />2<br />1,3<br />2<br />
  25. 25. Results<br />25<br /><ul><li>Increase of deviation time, increase of grouping , decrease of emissions(except for level 1)</li></li></ul><li>Results<br />26<br /><ul><li>Increase of deviation time, increase of grouping , decrease of emissions (except for level 1)
  26. 26. Breaking point of efficiency</li></li></ul><li>Results<br />27<br />Low stop density<br /><ul><li>More stop density increase, better is grouping</li></ul>1,8<br />Medium stop density<br />High stop density<br />4<br />3<br />
  27. 27. Conclusions<br />DRT : a solution for an economy of pollutants and vehicle in traffic<br />Grouping<br /><ul><li>detours
  28. 28. increase of distance travelled by vehicles
  29. 29. dependent on characteristics of the road network</li></ul> « environmental » threshold<br />28<br />
  30. 30. Pollutant Emissions and DRT Systems<br />Towards the Integration of a Spatial Dimension in the Estimations<br />Julie Prud’homme, Didier Josselin, JagannathAryal<br />julie.prud-homme@etd.univ-avignon.fr<br />UMR ESPACE – CNRS 6012 – University of Avignon<br />

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