© The Institution of Engineering and Technology
Intelligent transport systems are accepted as an integral part of the transport system. They have high potential in reducing the carbon footprint of traffic while improving efficient and safe transport. The calculation of CO2 emissions arising from the transport sector incorporating the impact of ITS is a challenging task. A systematic assessment methodology will support developers, public authorities and investors in ITS solutions to make sound decisions based on comparable and transparent impact estimates. As the basis for such an assessment, the fragmentation of traffic in underlying processes is suggested. These processes can be divided into transport demand related processes and driver behaviour and vehicle related processes. Together these processes lead to traffic flow. Transport processes are influenced by various factors. Both the processes itself and the factors influencing them can be affected by ITS. A systematic analysis of the potential effects of ITS on all these levels is the prerequisite for choosing a suitable modelling approach to quantify the effects. It also ensures the transparency of the modelling process by elucidating the required model sensitivities. The details of such an approach and its context from user need to a standardised assessment methodology for ITS is described.
References
-
-
1)
-
19. Toffolo, S., Morello, E., Samaras, Z., et al: ‘ICT-emissions methodology for assessing ITS and ICT solutions’. Proc. of the Transport Research Arena 2014, Paris, 2014.
-
2)
-
5. Boltze, M., Schäfer, P.K., Wolfermann, A.: ‘Leitfaden Verkehrstelematik’. Hinweise zur Planung und Nutzung in Kommunen und Kreisen (Transport Telematics Manual, Notes on Planning and Applications of ITS in Cities and Counties), Hrsg.: Bundesministerium für Verkehr, Bau und Stadtentwicklung (BMVBS), Berlin, 2006. .
-
3)
-
2. Mans, D., Rekiel, J., Wolfermann, A., Klunder, G.: ‘User needs for a standardized CO2 emission assessment, methodology for intelligent transport systems’. 19th ITS World Congress, 2012.
-
4)
-
3. Bristowa, A.L., Pearmana, A.D., Shiresa, J.D.: ‘An assessment of advanced transport telematics evaluation procedures’, Transp. Rev., Transnatl. Transdiscipl. J., 1997, 17, (3), pp. 177–205 (doi: 10.1080/01441649708716981).
-
5)
-
6)
-
6. ICT-Emissions: ‘Deliverable 2.1: Methodology’, 2013. .
-
7)
-
13. Nissan, A., Koutsopoulosb, H.N.: ‘Evaluation of the impact of advisory variable speed limits on motorway capacity and level of service’, Procedia – Social Behav. Sci., 2011, 16, pp. 100–109 (doi: 10.1016/j.sbspro.2011.04.433).
-
8)
-
9)
-
12. Geistefeldt, J.: ‘Capacity effects of variable speed limits on German freeways’, Procedia – Social Behav. Sci., 2011, 16, pp. 48–56 (doi: 10.1016/j.sbspro.2011.04.428).
-
10)
-
9. Ehrler, V., Davydenko, I., Ree, D., et al: ‘Standardized emission calculations along supply chains as a basis for smart global transport solutions in a ‘reality of less’ – is an approach within reach? In: transportation research record: journal of the transportation research board (TRR)’. 92nd Annual Meeting Transportation Research Board (TRB), Washington DC, USA, 13–17 January 2013.
-
11)
-
7. Gilka, Ph., Staubach, M.: ‘Fuel efficiency based on eco driving information systems’. Proc. of the 10th European ITS Congress, Helsinki, Finland, 16–19 June 2014.
-
12)
-
11. Schick, P.: ‘Einfluss von streckenbeeinflussungsanlagen auf die kapazität von autobahnabschnitten sowie die Stabilität des verkehrsflusses (impact of road section control systems on the capacity of highways and stability of traffic flow)’. Dissertation, Stuttgart, 2003.
-
13)
-
18. U.S. Department of Transportation: , 2001, .
-
14)
-
15. Wu, Y., Lee, P.: ‘The use of patent analysis in assessing ITS innovations: US, Europe and Japan’, Transp. Res. A, 2007, 41, (6), pp. 568–586.
-
15)
-
16)
-
10. Amitran Consortium.: ‘Deliverable 3.1: Methodology for classification of ITS’. .
-
17)
-
1. Mahmod, M., Jonkers, E., Klunder, G.A., Benz, T., Winder, A.: ‘The Amitran methodology framework for evaluating the impact of ICT-based measures on CO2 emissions in the transport field’. IET Intelligent Transport Systems, 2015,.
-
18)
-
26. Amitran Consortium: .
-
19)
-
21. Kompfner, P., Reinhardt, W.: ‘Members of the working group ICT for clean and efficient mobility: ICT for clean and efficient mobility’. , Brussels, 2008.
-
20)
-
14. Lee, C., Hellinga, B., Saccomanno, F.: , 2004. .
-
21)
-
16. Bossom, R., Jesty, P.: ‘Different types of ITS architectures and their uses’. Proc. of the 12th World Congress on Intelligent Transport Systems, San Francisco, 2005.
-
22)
-
20. Spence, A., Turksma, S., Schelling, A., et al: ‘Methodologies for assessing the impact of ITS applications on CO2 emissions’. , EC-METI Task Force, 2009.
-
23)
-
4. Black, W.: ‘Sustainable transportation: a US perspective’, J. Transp. Geogr., 1996, 4, (3), pp. 151–159 (doi: 10.1016/0966-6923(96)00020-8).
-
24)
-
24. Amitran Consortium: .
-
25)
-
17. Toral, S., Torres, M., Barrero, F., Arahal, M.: ‘Current paradigms in intelligent transportation systems’, IET Intell. Transp. Syst., 2010, 4, (3), pp. 201–211 (doi: 10.1049/iet-its.2009.0102).
-
26)
-
25. Amitran Guidance Knowledge base. .
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2014.0146
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