Ubiquitous sensorization for multimodal assessment of driving patterns

Advances in Intelligent Systems and Computing

Volumn 291, Issue , 2014, Pages 143-150

  Silva, Fábio ^a   Analide, Cesar ^a   Gonçalves, Celestino ^a   Sarmento, João ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

Driving profile; Mobile sensors; Sustainability

Indexed keywords

APPLICATION PROGRAMS; ARTIFICIAL INTELLIGENCE;

AGGRESSIVE DRIVING; ASSESSMENT PROCESS; CONTEXTUAL INFORMATION; DRIVING PROFILE; MOBILE SENSORS; SUSTAINABILITY ISSUES; SUSTAINABLE BEHAVIOURS; TRANSPORTATION SYSTEM;

SUSTAINABLE DEVELOPMENT;

EID: 84927772093     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-07596-9_16     Document Type: Conference Paper

References (23)

1. André, M.: Driving Cycles Development: Characterization of the Methods. Tech. rep., INRETS (May 1996)
2. Aztiria, A., Izaguirre, A., Augusto, J.C.: Learning patterns in ambient intelligence environments: a survey. Artif. Intell. Rev. 34(1), 35–51 (2010)
3. Bosse, T., Hoogendoorn, M., Klein, M.C.A., Treur, J.: A Component-Based Ambient Agent Model for Assessment of Driving Behaviour. In: Sandnes, F.E., Zhang, Y., Rong, C., Yang, L.T., Ma, J. (eds.) UIC 2008. LNCS, vol. 5061, pp. 229–243. Springer, Heidelberg (2008)
4. Eren, H., Makinist, S., Akin, E., Yilmaz, A.: Estimating driving behavior by a smartphone. In: 2012 IEEE Intelligent Vehicles Symposium, vol. (254), pp. 234–239. IEEE (June 2012)
5. Ericsson, E.: Variability in exhaust emission and fuel consumption in urban driving. In: Urban Transport Systems, Proceedings from the 2nd kfb Research Conference, pp. 1–16 (1980)
6. Ericsson, E.: Independent driving pattern factors and their influence on fuel-use and exhaust emission factors. Transportation Research Part D: Transport and Environment 6(5), 325–345 (2001)
7. Flach, T., Mishra, N., Pedrosa, L., Riesz, C., Govindan, R.: CarMA. In: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, p. 135. ACM Press, New York (2011)
8. Gebhard, P.: ALMA: a layered model of affect. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 29–36 (2005)
9. Healey, J., Picard, R.: Detecting Stress During Real-World Driving Tasks Using Physiological Sensors. IEEE Transactions on Intelligent Transportation Systems 6(2), 156–166 (2005)
10. Johnson, D.A., Trivedi, M.M.: Driving style recognition using a smartphone as a sensor platform. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1609–1615. IEEE (October 2011)
11. Kharrazi, A., Kraines, S., Hoang, L., Yarime, M.: Advancing quantification methods of sustainability: A critical examination emergy, exergy, ecological footprint, and ecological information-based approaches. Ecological Indicators, Part A 37, 81–89 (2014)
12. Kuhler, M., Karstens, D.: Improved Driving Cycle for Testing Automotive Exhaust Emissions. Tech. rep., Volkswagenwerk AG (February 1978)
13. Li, K., Lu, M., Lu, F., Lv, Q., Shang, L., Maksimovic, D.: Personalized Driving Behavior Monitoring and Analysis for Emerging Hybrid Vehicles. In: Kay, J., Lukowicz, P., Tokuda, H., Olivier, P., Krüger, A. (eds.) Pervasive 2012. LNCS, vol. 7319, pp. 1–19. Springer, Heidelberg (2012)
14. Mehrabian, A.: Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology 14(4), 261–292 (1996)
15. Mohan, P., Padmanabhan, V.N., Ramjee, R.: Nericell. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2008, p. 323. ACM Press, New York (2008)
16. Nettle, D.: Personality: What makes you the way you are. OUP Oxford (2007)
17. Oliveira, T., Novais, P., Jose, N.: Guideline Formalization and Knowledge Representation for Clinical Decision Support. Advances in Distributed Computing and Artificial Intelligence Journal (ADCAIJ) I(2), 1–12 (2012)
18. Paefgen, J., Kehr, F., Zhai, Y., Michahelles, F.: Driving Behavior Analysis with Smartphones: Insights from a Controlled Field Study. In: Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, pp. 36:1–36:8. ACM, USA (2012)
19. Rakotonirainy, A., Tay, R.: In-vehicle ambient intelligent transport systems (IVAITS): towards an integrated research. In: Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749), pp. 648–651. IEEE (2004)
20. Sadri, F.: Ambient intelligence. ACM Computing Surveys 43(4), 1–66 (2011)
21. Silva, F., Analide, C., Rosa, L., Felgueiras, G., Pimenta, C.: Ambient Sensorization for the Furtherance of Sustainability. In: van Berlo, A., Hallenborg, K., Rodríguez, J.M.C., Tapia, D.I., Novais, P. (eds.) Ambient Intelligence & Software & Applications. AISC, vol. 219, pp. 179–186. Springer, Heidelberg (2013)
22. Sun, J., Wu, Z.H., Pan, G.: Context-aware smart car: from model to prototype. Journal of Zhejiang University Science A 10(7), 1049–1059 (2009)
23. Todorov, V., Marinova, D.: Modelling sustainability. Mathematics and Computers in Simulation 81(7), 1397–1408 (2011)