© The Institution of Engineering and Technology
In this study a framework for the real-time trading of budgeted emission rights between a fleet of participating vehicles is presented. The trading problem is formulated as a utility maximisation or as a utility fairness problem, which can be solved in real time either in a centralised or in a distributed manner. In both cases, the authors illustrate the basic issues that arise when such a framework is realised in practice, and they show the efficacy of the approaches by providing several simulation examples and a realistic case study.
References
-
-
1)
-
36. Knorn, F., Stanojevic, R., Corless, M., Shorten, R.: ‘A framework for decentralised feedback connectivity control with application to sensor networks’, Int. J. Control, 2009, 82, (11), pp. 2095–2114 (doi: 10.1080/00207170902912056).
-
2)
-
13. Chen, B., Pinelli, F., Sinn, M., Botea, A., Calabrese, F.: ‘Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots’. Proc. of the 16th Int. IEEE Annual Conf. on Intelligent Transportation Systems, The Hague, Netherlands, 2013.
-
3)
-
33. Kelly, F.P.: ‘Mathematical modelling of the Internet’. Proc. of ICIAM 99, 4th Int. Congress of Industrial Applied Mathematics, Edinburgh, UK, 1999.
-
4)
-
34. Stanojevic, R., Shorten, R.: ‘Fully decentralised emulation of best-effort and processor sharing queues’. Proc. of ACM Sigmetrics, 2008.
-
5)
-
22. Schlote, A., Häusler, F., Hecker, T., Bergmann, A., Crisostomi, E., Radusch, I., Shorten, R.: ‘Cooperative regulation of emissions using plug-in hybrid vehicles’. ACM/IEEE/IFAC/TRB Int. Conf. on Connected Vehicles and Expo, Beijing, China, 2012.
-
6)
-
35. Knorn, F., Corless, M., Shorten, R.: ‘Results in cooperative control and implicit consensus’, Int. J. Control, 2011, 84, (3), pp. 476–495 (doi: 10.1080/00207179.2011.561442).
-
7)
-
38. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, 2004).
-
8)
-
46. Krajzewicz, D., Bonert, M., Wagner, P.: ‘The open source traffic simulation package SUMO’. RoboCup 2006 Infrastructure Simulation Competition, Germany, 2006.
-
9)
-
A. Jadbabaie ,
J. Lin ,
A.S. Morse
.
Coordination of groups of mobile autonomous agents using nearest neighbor rules.
IEEE Trans. Autom. Control
,
6 ,
988 -
1001
-
10)
-
11)
-
26. Knorn, F.: ‘Topics in Cooperative Control’, PhD Thesis, Hamilton Institute, , 2011.
-
12)
-
32. Srikant, R.: ‘The mathematics of internet congestion control’, Systems and Control: Foundations and Applications, Birkhaueser, 2003.
-
13)
-
14)
-
30. Borkar, V., Varaiya, P.P.: ‘Asymptotic agreement in distributed estimation’, IEEE Trans. Autom. Control, 1982, 27, pp. 650–655 (doi: 10.1109/TAC.1982.1102982).
-
15)
-
11. Bel, G., Rosell, J.: ‘Effects of the 80 km/h and variable speed limits on air pollution in the metropolitan area of Barcelona’, Transp. Res. D, Transp. Environ., 2013, 23, pp. 90–97 (doi: 10.1016/j.trd.2013.04.005).
-
16)
-
42. de Abreu, N.M.M.: ‘Old and new results on algebraic connectivity of graphs’, Linear Algebr. Appl., 2007, 423, pp. 53–73 (doi: 10.1016/j.laa.2006.08.017).
-
17)
-
24. Hager, W., Hearn, D., Pardolas, P.: ‘Large scale optimization: state of the art’ (Kluwer Academic, 1994).
-
18)
-
28. Lestas, I., Vinnicombe, G.: ‘Heterogeneity and scalability in group agreement protocols: beyond small gain and passivity approaches’, Automatica, 2010, 46, (7), pp. 1141–1151 (doi: 10.1016/j.automatica.2010.03.018).
-
19)
-
44. Cao, M., Wu, C.W.: ‘Topology design for fast convergence of network consensus algorithms’. IEEE Int. Symp. on Circuits and Systems, 2007.
-
20)
-
12. de Weerdt, M., Gerding, E., Stein, S., Robu, V., Jennings, N.: ‘Intention-aware routing to minimise delays at electric vehicle charging stations’. Proc. of the 23rd Int. Joint Conf. on Artificial Intelligence, 2013, pp. 83–89.
-
21)
-
4. Woodburn, A., Allen, J., Leonardi, J.: ‘International road and rail freight transport: the impact of Globalisation on activity levels’. OECD, Globalisation, Transport and the Environment, OECD Publishing, Paris, 2010.
-
22)
-
2. Hodgkinson, S.: ‘Is your city smart enough’, 2011, .
-
23)
-
23. Stanojevic, R., Shorten, R.: ‘Load balancing vs. distributed rate limiting: an unifying framework for cloud control’. Proc. of ICC, 2009.
-
24)
-
6. Dirks, S., Constantin Gurdgiev, C., Keeling, M.: ‘Smarter cities for smarter growth’ (IBM Institute for business value, White Paper, 2010).
-
25)
-
3. Ezell, S.: ‘Intelligent Transportation Systems’, 2010, .
-
26)
-
27. Siljak, D.: ‘Large-scale dynamic systems: stability and structure’ (North-Holland, 2007).
-
27)
-
45. Boulter, P.G., Barlow, T.J., McCrae, I.S.: ‘Emission factors 2009: Report 3 – exhaust emission factors for road vehicles in the United Kingdom’. , 2009.
-
28)
-
18. Golden, J.S., Dooley, K.J., Anderies, J.M., Thompson, B.H., Gereffi, G., Pratson, L.: ‘Sustainable product indexing: navigating the challenge of ecolabeling’, Ecol. Soc., 2011, 15, (3).
-
29)
-
14. Botea, A., Berlingerio, M., Nikolova, E.: ‘Multi-modal journey planning in the presence of uncertainty’. Proc. of the Int. Conf. on Automated Planning and Scheduling, 2013, pp. 20–28.
-
30)
-
37. Geng, Y., Cassandras, C.G.: ‘Dynamic resource allocation in urban settings: a "smart parking" approach’. Proc. of CACSD, 2011.
-
31)
-
21. Stüdli, S., Crisostomi, E., Middleton, R., Shorten, R.: ‘AIMD-like algorithms for charging electric and plug-in hybrid vehicles’. IEEE Int. Conf. on Electric Vehicles, Greenville, 2012.
-
32)
-
39. Nedić, A., Ozdaglar, A.: ‘Subgradient methods for saddle-point problems’, J. Optim. Theory Appl., 2009, 142, (1), pp. 205–228.
-
33)
-
5. Chatterjee, K., Mcdonald, M., Paulley, N., Taylor, N.B.: ‘Modelling the impacts of transport telematics: current limitations and future developments’, Transp. Rev., 1999, 19, (1), pp. 57–80 (doi: 10.1080/014416499295673).
-
34)
-
P. Moylan ,
D. Hill
.
Stability criteria for large-scale systems.
IEEE Trans. Autom. Control
,
2 ,
143 -
149
-
35)
-
19. Haase, H.: ‘Logistics emission trading system for green optimization’, , 2011, .
-
36)
-
16. Wu, C.W.: ‘Algebraic connectivity of directed graphs’, Linear and Multilinear Algebra, 2005, 53, (3), pp. 203–223 (doi: 10.1080/03081080500054810).
-
37)
-
20. Stüdli, S., Crisostomi, E., Middleton, R., Shorten, R.: ‘A flexible distributed framework for realising electric and plug-in hybrid vehicle charging policies’, Int. J. Control, 2012, 85, (8), pp. 1130–1145 (doi: 10.1080/00207179.2012.679970).
-
38)
-
39)
-
15. Göhring, D., Latotzky, D., Wang, M., Rojas, R.: ‘Semi-autonomous car control using brain computer interfaces’. Intelligent Autonomous Systems 12, Advances in Intelligent Systems and Computing, (SpringerBerlin Heidelberg, 2013).
-
40)
-
8. Guerreiro, C., de Leeuw, F., Foltescu, V.: ‘Air quality in Europe – 2013 report’ (European Environment Agency, Copenhagen, Denmark, 2013).
-
41)
-
7. Peden, M., McGee, K., Sharma, G.: ‘THE injury chart book: a graphical overview of the global burden of injuries’ (World Health Organization, Geneva, 2002).
-
42)
-
9. Knorn, F., Corless, M.J., Shorten, R.: ‘A result on implicit consensus with application to emissions control’. Proc. of 50th IEEE Conf. on Decision and Control and European Control Conf. (CDC-ECC), 2011.
-
43)
-
R. Shorten ,
F. Wirth ,
D. Leith
.
A positive systems model of TCP-like congestion control: asymptotic results.
IEEE Trans. Autom. Control
,
3 ,
616 -
629
-
44)
-
45)
-
40. Khalil, H.: ‘Nonlinear systems’ (Prentice Hall, 2001).
-
46)
-
R. Olfati-Saber ,
J.A. Fax ,
R.M. Murray
.
Consensus and cooperation in networked multi-agent systems.
Proc. IEEE.
,
1 ,
215 -
233
-
47)
-
16. Schlote, A., Häusler, F., Hecker, T., Bergmann, A., Crisostomi, E., Radusch, I., Shorten, R.: ‘Cooperative regulation and trading of emissions using plug-in hybrid vehicles’, IEEE Trans. Intell. Transp. Syst., 2013, 14, (4), pp. 1572–1585 (doi: 10.1109/TITS.2013.2264754).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2013.0153
Related content
content/journals/10.1049/iet-its.2013.0153
pub_keyword,iet_inspecKeyword,pub_concept
6
6