Based on an empirical study of real field global positioning system data obtained from navigation devices in vehicles, the authors analyse fuel consumption of vehicles in city traffic. They show that synchronised flow patterns, revealed recently in real field oversaturated city traffic, exhibit considerable impact on fuel consumption. In particular, they have found out that fuel consumption in oversaturated city traffic can decrease considerably when oversaturated city traffic consists of synchronised flow patterns rather than consisting of moving queues of the classical traffic flow theory at traffic signals. Using empirical data from two different road sections in the city of Düsseldorf, Germany, the authors show that synchronised flow patterns and moving queues differ in their cumulated vehicle acceleration (a sum of positive speed differences along a vehicle trajectory) despite similar mean vehicle speeds. Fuel consumption in return is dependent on the cumulated vehicle acceleration. This latter dependency is obtained by means of a macroscopic consumption matrix based on empirical field trial consumption data and simulated speed and acceleration profiles. The authors sketch out the application of the study results to route guidance by demonstrating that the most energy-efficient route in a road network can differ from the fastest route.

References

1. 1)
  - 28. Hemmerle, P., Koller, M., Rehborn, H., Hermanns, G., Kerner, B.S., Schreckenberg, M.: ‘Increased consumption in oversaturated city traffic based on empirical vehicle data’, in Fischer-Wolfahrt, J., Meyer, G. (Eds.): ‘Advanced microsystems for automotive applications 2014. Smart systems for safe, clean and automated vehicles’ (Springer, 2014), pp. 71–79.
2. 2)
  - 26. Hermanns, G., Hemmerle, P., Rehborn, H., Koller, M., Kerner, B.S., Schreckenberg, M.: ‘Microscopic simulation of synchronized flow in oversaturated city traffic: effect of driver's speed adaptation’. Proc. of Transportation Research Board 2015 Annual Meeting, TRB Paper 15-3051, Washington DC, January 2015.
3. 3)
  - 1. Kerner, B.S., Hemmerle, P., Koller, M., et al: ‘Empirical synchronized flow in oversaturated city traffic’, Phys. Rev. E, 2014, 90, (3), p. 032810 (doi: 10.1103/PhysRevE.90.032810).
4. 4)
  - 25. Koller, M., Hemmerle, P., Rehborn, H., Kerner, B.S., Hermanns, G., Schreckenberg, M.: ‘Mehrverbrauch im gestauten Stadtverkehr’, Straßenverkehrstechnik, 2015(accepted).
5. 5)
  - 6. Dion, F., Rakha, H., Kang, Y.S.: ‘Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections’, Transp. Res. B, Methodol., 2004, 38, (2), pp. 99–122 (doi: 10.1016/S0191-2615(03)00003-1).
6. 6)
  - 18. Boriboonsomsin, K., Barth, M., Zhu, W., Vu, A.: ‘Eco-routing navigation system based on multisource historical and real-time traffic information’, Intell. Transp. Syst., IEEE Trans., 2012, 13, (4), pp. 1694–1704 (doi: 10.1109/TITS.2012.2204051).
7. 7)
  - 15. Kerner, B.S., Klenov, S.L.: ‘A microscopic theory of spatial-temporal congested traffic patterns at highway bottlenecks’, Phys. Rev. E, 2003, 68, (3), p. 036130 (doi: 10.1103/PhysRevE.68.036130).
8. 8)
  - 8. Kerner, B.S., Klenov, S.L., Hermanns, G., et al: ‘Synchronized flow in oversaturated city traffic’, Phys. Rev. E, 2013, 88, (5), p. 054801 (doi: 10.1103/PhysRevE.88.054801).
9. 9)
  - 19. Barth, M., Boriboonsomsin, K.: ‘Energy and emissions impacts of a freeway-based dynamic eco-driving system’, Transp. Res. D, Transp. Environ., 2009, 14, (6), pp. 400–410 (doi: 10.1016/j.trd.2009.01.004).
10. 10)
  - 16. Nesamani, K.S., Chu, L., McNally, M.G., Jayakrishnan, R.: ‘Estimation of vehicular emissions by capturing traffic variations’, Atmos. Environ., 2007, 41, (14), pp. 2996–3008 (doi: 10.1016/j.atmosenv.2006.12.027).
11. 11)
  - 17. Barth, M., Boriboonsomsin, K.: ‘Real-world carbon dioxide impacts of traffic congestion’, Transp. Res. Rec., J. Transp. Res. Board, 2008, 2058, pp. 163–171 (doi: 10.3141/2058-20).
12. 12)
  - 22. Barth, M., An, F., Norbeck, J., Ross, M.: ‘Modal emissions modeling: A physical approach’, Transp. Res. Rec., J. Transp. Res. Board, 1996, 1520, pp. 81–86 (doi: 10.3141/1520-10).
13. 13)
  - 9. Kerner, B.S.: ‘The physics of traffic’ (Springer, 2004).
14. 14)
  - 20. Rakha, H., Ahn, K., Trani, A.: ‘Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emissions’, Transp. Res. D, Transp. Environ., 2004, 9, (1), pp. 49–74 (doi: 10.1016/S1361-9209(03)00054-3).
15. 15)
  - 3. Newell, G.F.: ‘Approximation methods for queues with application to the fixed-cycle traffic light’, SIAM Rev., 1965, 7, (2), pp. 223–240 (doi: 10.1137/1007038).
16. 16)
  - 24. Hemmerle, P., Hermanns, G., Koller, M., Rehborn, H., Kerner, B.S., Schreckenberg, M.: ‘Macroscopic consumption matrix for energy-efficient route guidance’. Proc. of Transportation Research Board 2015 Annual Meeting, TRB Paper 15-2751, Washington DC, January 2015.
17. 17)
  - 13. Kerner, B.S.: ‘The physics of traffic’, Phys. World, 1999, 12, (8), pp. 25–30.
18. 18)
  - 5. Gartner, N.H., Stamatiadis, C.: ‘Traffic networks, optimization and control of urban’, in Meyers, R.A. (Ed.): ‘Encyclopedia of complexity and system science’ (Springer, 2009), pp. 9470–9500.
19. 19)
  - 12. Kerner, B.S.: ‘Congested traffic flow: observations and theory’, Transp. Res. Rec., J. Transp. Res. Board, 1999, 1678, (1), pp. 160–167 (doi: 10.3141/1678-20).
20. 20)
  - 27. Kerner, B.S.: ‘A theory of traffic congestion at heavy bottlenecks’, J. Phys. A, 2008, 41, (21), p. 215101 (doi: 10.1088/1751-8113/41/21/215101).
21. 21)
  - 23. Kerner, B.S.: ‘Cumulated vehicle acceleration’, Traffic Eng. Control, 2014, 55, (4), pp. 139–141.
22. 22)
  - 21. Akcelik, R., Bailey, C., Bowyer, C., Biggs, D.C.: ‘A hierarchy of vehicle fuel consumption models’, Traffic Eng. Control, 1983, 24, (10), pp. 491–495.
23. 23)
  - 10. Kerner, B.S.: ‘Introduction to modern traffic flow theory and control: the long road to three-phase traffic theory’ (Springer, 2009).
24. 24)
  - 4. Robertson, D.I.: ‘TRANSYT: a traffic network study tool’. Transport and Road Research Laboratory Report LR 253, TRL, Crowthorne, 1969.
25. 25)
  - 7. Geroliminis, N., Skabardonis, A.: ‘Identification and analysis of queue spillovers in city street networks’, IEEE Trans. Intell. Transp. Syst., 2011, 12, (4), pp. 1107–1115 (doi: 10.1109/TITS.2011.2141991).
26. 26)
  - 29. Watson, H.C.: ‘Effects of a wide range of drive cycles on the emissions from vehicles of three levels of technology’. SAE technical paper, paper 950221, 1995.
27. 27)
  - 2. Webster, F.V.: ‘Traffic signal settings’. Road Research Laboratory Technical Paper No. 39, 1958.
28. 28)
  - 30. Akcelik, R. (Ed.): ‘Progress in fuel consumption modelling for urban traffic management’. Research Report ARR 124, Australian Road Research Board, 1983.
29. 29)
  - 11. Kerner, B.S.: ‘Experimental features of self-organization in traffic flow’, Phys. Rev. Lett., 1998, 81, (17), p. 3797 (doi: 10.1103/PhysRevLett.81.3797).
30. 30)
  - 14. Kerner, B.S., Klenov, S.L.: ‘A microscopic model for phase transitions in traffic flow’, J. Phys. A, Math. Gen., 2002, 35, (3), pp. L31–L43 (doi: 10.1088/0305-4470/35/3/102).

Fuel consumption in empirical synchronised flow in urban traffic

References

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