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Reusable road condition information system for traffic safety and targeted maintenance

Reusable road condition information system for traffic safety and targeted maintenance

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Driver awareness of current winter road conditions (RCs) is known to affect the frequency of accidents due to sudden changes in these conditions. For example, partially icy roads that appear during autumn in northern areas typically result in collisions and ditch runs unless the drivers are generally aware of the situation. Availing motorists who drive under winter RCs of enhanced information is therefore highly desirable to increase their awareness of hazardous driving conditions. Such conditions need to be predicted ahead of time and presented to drivers before they attempt slippery road sections. Moreover, the identification of slippery RCs should quickly trigger targeted road maintenance to reduce the risk of accidents. This study presents a scalable and reusable collaborative intelligent transport system, herein referred to as an RC information system (RCIS). RCIS provides accurate RC predictions and forecasts based on RC measurements, road weather observations, and short-term weather forecasts. The prediction methods in the context of the distributed RCIS have been tested using a prototype implementation. These tests confirmed that these inputs could be combined into useful and accurate information about winter RCs that can be adapted for different types of users.

References

    1. 1)
      • (2013)
        1. Federal Highway Administration (FHWA) Snow and ice, 2013, http://www.ops.fhwa.dot.gov/weather/weather_events/snow_ice.htm.
        .
    2. 2)
      • R. Kulmala , P. Rämä .
        2. Kulmala, R., Rämä, P.: ‘The effects of weather and road condition warnings on driver behaviour’. Proc. of the Conf. on Road Safety in Europe and Strategic Highway Research Program (SHRP), Prague, 1995, pp. 169178.
        . Proc. of the Conf. on Road Safety in Europe and Strategic Highway Research Program (SHRP) , 169 - 178
    3. 3)
      • R. Schandersson .
        3. Schandersson, R.: ‘Samband mellan trafikolyckor, väglag och vinterväghållningsåtgärder’, VTI Meddelande, 1988, 514, p. 53.
        . VTI Meddelande , 53
    4. 4)
      • H. Sävenhed .
        4. Sävenhed, H.: ‘Samband mellan vinterväghållning och trafiksäkerhet’, VTI Rapport, 1995, 399, p. 58.
        . VTI Rapport , 58
    5. 5)
      • M.P. Andreescu , D.B. Frost .
        5. Andreescu, M.P., Frost, D.B.: ‘Weather and traffic accidents in Montreal, Canada’, Clim. Res., 1998, 9, pp. 225230.
        . Clim. Res. , 225 - 230
    6. 6)
      • A. Abdi , H. Lind , B. Birgisson .
        6. Abdi, A., Lind, H., Birgisson, B.: ‘Use of road weather information system (RWIS) as assistive tool for effective winter road maintenance: technical and contractual interactions’, Int. J. Eng. Technol., 2012, 2, (12), pp. 20022012.
        . Int. J. Eng. Technol. , 12 , 2002 - 2012
    7. 7)
      • (2015)
        7. Trafikverket (web), Trafikverkets väderinformation VViS, 2015, http://www.trafikverket.se/tjanster/trafiktjanster/vvis/.
        .
    8. 8)
      • J. Norrman , M. Eriksson , S. Lindqvist .
        8. Norrman, J., Eriksson, M., Lindqvist, S.: ‘Relationships between road slipperiness, traffic accident risk and winter road maintenance activity’, Clim. Res., 2000, 15, pp. 185193.
        . Clim. Res. , 185 - 193
    9. 9)
      • S. Edwards , G. Evans , P. Blythe .
        9. Edwards, S., Evans, G., Blythe, P., et al: ‘Wireless technology applications to enhance traveller safety’, IET Intell. Transport Syst., 2012, 6, (3), pp. 328335.
        . IET Intell. Transport Syst. , 3 , 328 - 335
    10. 10)
      • H. Norem .
        10. Norem, H.: ‘Selection of strategies for winter maintenance of roads based on climatic parameters’, J. Cold Reg. Eng., 2009, 23, pp. 113135.
        . J. Cold Reg. Eng. , 113 - 135
    11. 11)
      • M. Ali , P. Falcone , J. Sjöberg .
        11. Ali, M., Falcone, P., Sjöberg, J.: ‘A predictive approach to roadway departure prevention’. 21st IAVSD Symp. on Dynamics of Vehicles on Roads and Tracks, 2009.
        . 21st IAVSD Symp. on Dynamics of Vehicles on Roads and Tracks
    12. 12)
      • Z. Ye , X. Shi , C.K. Strong .
        12. Ye, Z., Shi, X., Strong, C.K., et al: ‘Vehicle-based sensor technologies for winter highway operations’, IET Intell. Transp. Syst., 2012, 6, (3), pp. 336345.
        . IET Intell. Transp. Syst. , 3 , 336 - 345
    13. 13)
      • B. Radia .
        13. Radia, B.: ‘Integrating the traffic management applications of ITS: an overview of the UTMC programme in the UK’, J. Intell. Transp. Syst., 2000, 6, (1), pp. 8390.
        . J. Intell. Transp. Syst. , 1 , 83 - 90
    14. 14)
      • C.D. Kakan , M. Ashok , C. Mashrur .
        14. Kakan, C.D., Ashok, M., Mashrur, C.: ‘Potential of intelligent transportation systems in mitigating adverse weather impacts on road mobility: a review’, IEEE Trans. Intell. Transp. Syst., 2015, 16, pp. 11071119.
        . IEEE Trans. Intell. Transp. Syst. , 1107 - 1119
    15. 15)
      • J.A. Whitsitt , E.L. Travis .
        15. Whitsitt, J.A., Travis, E.L.: ‘Traffic route generation and adaptation using case-based reasoning’, J. Intell. Transp. Syst., 1996, 3, (3), pp. 181204.
        . J. Intell. Transp. Syst. , 3 , 181 - 204
    16. 16)
      • Z. Huang , K.G. Shin .
        16. Huang, Z., Shin, K.G.: ‘A new location coding scheme for intelligent transport systems’, J. Intell. Transp. Syst. J., 1996, 3, (2), pp. 99109.
        . J. Intell. Transp. Syst. J. , 2 , 99 - 109
    17. 17)
      • K. Mäenpää , T. Sukuvaara , R. Ylitalo .
        17. Mäenpää, K., Sukuvaara, T., Ylitalo, R., et al: ‘Road weather station acting as a wireless service hotspot for vehicles’. Intelligent Computer Communication and Processing (ICCP), 2013 IEEE Int. Conf. on, 01/2013.
        . Intelligent Computer Communication and Processing (ICCP), 2013 IEEE Int. Conf. on
    18. 18)
      • D.W. Eby , L.J. Molnar .
        18. Eby, D.W., Molnar, L.J.: ‘In-vehicle route guidance preferences of driving tourists’, J. Intell. Transp. Syst. J., 2001, 6, (3), pp. 261279.
        . J. Intell. Transp. Syst. J. , 3 , 261 - 279
    19. 19)
      • D. Ettema , H. Timmerans , T. Arentze .
        19. Ettema, D., Timmerans, H., Arentze, T.: ‘Modelling perception updating of travel times in the context of departure time choice under ITS’, J. Intell. Transp. Syst., 2004, 8, (1), pp. 3343.
        . J. Intell. Transp. Syst. , 1 , 33 - 43
    20. 20)
      • V.J. Berrocal , A.E. Raftery , T. Gneiting .
        20. Berrocal, V.J., Raftery, A.E., Gneiting, T., et al: ‘Probabilistic weather forecasting for winter road maintenance’, J. Am. Stat. Assoc., 2010, 105, (490), pp. 522537.
        . J. Am. Stat. Assoc. , 490 , 522 - 537
    21. 21)
      • G. Erdogan , L. Alexander , R. Rajamani .
        21. Erdogan, G., Alexander, L., Rajamani, R.: ‘Friction coefficient measurement for autonomous winter road maintenance’, Veh. Syst. Dyn., 2009, 47, (4), pp. 497512.
        . Veh. Syst. Dyn. , 4 , 497 - 512
    22. 22)
      • V. Hinkka , E. Pilli-Sihvola , H. Mantsinen .
        22. Hinkka, V., Pilli-Sihvola, E., Mantsinen, H., et al: ‘Integrated winter road maintenance management — new directions for cold regions research’, Cold Regions Sci. Technol., 2016, 121, pp. 108117.
        . Cold Regions Sci. Technol. , 108 - 117
    23. 23)
      • E. Pilli-Sihvola , P. Leviäkangas , R. Hautala .
        23. Pilli-Sihvola, E., Leviäkangas, P., Hautala, R.: ‘Better winter road weather information saves money, time, lives and environment’. Standing Int. Road Weather Committee's Conf., Helsinki, May 2012.
        . Standing Int. Road Weather Committee's Conf.
    24. 24)
      • (2016)
        24. Google Developers web site, 2016. https://developers.google.com/, accessed 08 March 2016.
        .
    25. 25)
      • 25. Waze web site, 2016. https://www.waze.com/, accessed 08 March 2016.
        .
    26. 26)
      • K.C. Dey , A. Mishra , M. Chowdhury .
        26. Dey, K.C., Mishra, A., Chowdhury, M.: ‘Potential of intelligent transportation systems in mitigating adverse weather impacts on road mobility: a review’, IEEE Trans. Intell. Transp. Syst., 2015, 16, (3), pp. 11071119.
        . IEEE Trans. Intell. Transp. Syst. , 3 , 1107 - 1119
    27. 27)
      • J. Bogren , T. Gustavsson .
        27. Bogren, J., Gustavsson, T.: ‘RSI–road status information a new method for detection of road conditions’. Proc. 17th Int. Road Weather Conf..
        . Proc. 17th Int. Road Weather Conf.
    28. 28)
      • S. Drobot , M. Chapman , E. Schuler .
        28. Drobot, S., Chapman, M., Schuler, E., et al: ‘Improving road weather hazard products with vehicle probe data’, Transp. Res. Rec. J. Transp. Res. Board, 2010, 2169, (1), pp. 128140.
        . Transp. Res. Rec. J. Transp. Res. Board , 1 , 128 - 140
    29. 29)
      • M. Gerla , E.-K. Lee , G. Pau .
        29. Gerla, M., Lee, E.-K., Pau, G., et al: ‘Internet of vehicles: from intelligent grid to autonomous cars and vehicular clouds’. 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, 2014, pp. 241246.
        . 2014 IEEE World Forum on Internet of Things (WF-IoT) , 241 - 246
    30. 30)
      • W.P. Mahoney , J.M. O'Sullivan .
        30. Mahoney, W.P.III, O'Sullivan, J.M.: ‘Realizing the potential of vehicle-based observations’, Bull. Am. Meteor. Soc., 2013, 94, pp. 10071018.
        . Bull. Am. Meteor. Soc. , 1007 - 1018
    31. 31)
      • L. Ewan , A. Al-Kaisy , D. Veniziano .
        31. Ewan, L., Al-Kaisy, A., Veniziano, D.: ‘Remote sensing of weather and road surface conditions’, Transp. Res. Rec. J. Transp. Res. Board, 2013, 2329, pp. 816.
        . Transp. Res. Rec. J. Transp. Res. Board , 8 - 16
    32. 32)
      • J. Casselgren , M. Sjödahl , J. Leblanc .
        32. Casselgren, J., Sjödahl, M., Leblanc, J.: ‘Model-based winter road classification’, Int. J. Veh. Syst. Modell. Testing, 2012, 7, (3), pp. 268284, 10.1504/IJVSMT.2012.048941.
        . Int. J. Veh. Syst. Modell. Testing , 3 , 268 - 284
    33. 33)
      • J. Casselgren , S. Rosendahl , J. Eliasson .
        33. Casselgren, J., Rosendahl, S., Eliasson, J.: ‘Road surface information system’. Proc. of the 16th SIRWEC Conf., Helsinki, Finland, 23–25th May 2012, Standing International Road Weather Commission.
        . Proc. of the 16th SIRWEC Conf.
    34. 34)
      • R. Nasim , A. Kassler .
        34. Nasim, R., Kassler, A.: ‘Distributed architectures for intelligent transport systems: a survey’. 2012 Second Symposium on Network Cloud Computing and Applications (NCCA), London, 2012, pp. 130136.
        . 2012 Second Symposium on Network Cloud Computing and Applications (NCCA) , 130 - 136
    35. 35)
      • P. Pagano , M. Petracca , D. Alessandrelli .
        35. Pagano, P., Petracca, M., Alessandrelli, D., et al: ‘Is ICT mature for an EU-wide intelligent transport system?’, IET Intell. Transp. Syst., 2013, 7, (1), pp. 151159.
        . IET Intell. Transp. Syst. , 1 , 151 - 159
    36. 36)
      • 36. Trafikverket (web), Sveriges vägnät, 2015, URL: http://www.trafikverket.se/Privat/Vagar-och-jarnvagar/Sveriges-vagnat/.
        .
    37. 37)
      • J. Autioniemi , M. Autioniemi , J. Casselgren . (2015)
        37. Autioniemi, J., Autioniemi, M., Casselgren, J., et al: ‘Intelligent road’. Teknisk rapport/Luleå tekniska universitet, Luleå tekniska universitet, Luleå, 2015.
        .
    38. 38)
      • N. Engström , H. Andrén , M. Nybacka . (2008)
        38. Engström, N., Andrén, H., Nybacka, M., et al: ‘Road grip test in Arjeplog’. Technical Report/Luleå University of Technology; Nr 2008:17, Luleå tekniska Universitet, Luleå, 2008.
        .
    39. 39)
      • J. Casselgren , N. Engström , S. Rosendahl .
        39. Casselgren, J., Engström, N., Rosendahl, S., et al: ‘Investigation of ice surface change during vehicle testing’, Int. J. Veh. Syst. Modell. Testing, 2014, 9, (2), pp. 137150, 10.1504/IJVSMT.2014.061435.
        . Int. J. Veh. Syst. Modell. Testing , 2 , 137 - 150
    40. 40)
      • F. Liping , T. Mathieu , K. Valeri .
        40. Liping, F., Mathieu, T., Valeri, K.: ‘Optimizing winter road maintenance operations under real-time information’, Eur. J. Oper. Res., 2008, 196, pp. 332342.
        . Eur. J. Oper. Res. , 332 - 342
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