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https://doi.org/10.7307/ptt.v30i6.2638

Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties

Morteza Asadamraji ; PHD candidate, Roadway design and transportation, Tarbiat Modares University, Iran
Mahmoud Saffarzadeh ; Professor of Highway and Transportation Engineering Tarbiat Modares University , Iran
Aminmirza Borujerdian ; Assistant Professor of Highway and Transportation Engineering Tarbiat Modares University, Iran
Tayebeh Ferdousi ; Assistant Professor, Institute of Psychology, Tehran University, Iran

Puni tekst: engleski, PDF (1 MB) str. 683-692 preuzimanja: 224* citiraj
APA 6th Edition
Asadamraji, M., Saffarzadeh, M., Borujerdian, A. i Ferdousi, T. (2018). Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties. Promet - Traffic&Transportation, 30 (6), 683-692. https://doi.org/10.7307/ptt.v30i6.2638
MLA 8th Edition
Asadamraji, Morteza, et al. "Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties." Promet - Traffic&Transportation, vol. 30, br. 6, 2018, str. 683-692. https://doi.org/10.7307/ptt.v30i6.2638. Citirano 28.11.2021.
Chicago 17th Edition
Asadamraji, Morteza, Mahmoud Saffarzadeh, Aminmirza Borujerdian i Tayebeh Ferdousi. "Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties." Promet - Traffic&Transportation 30, br. 6 (2018): 683-692. https://doi.org/10.7307/ptt.v30i6.2638
Harvard
Asadamraji, M., et al. (2018). 'Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties', Promet - Traffic&Transportation, 30(6), str. 683-692. https://doi.org/10.7307/ptt.v30i6.2638
Vancouver
Asadamraji M, Saffarzadeh M, Borujerdian A, Ferdousi T. Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties. Promet - Traffic&Transportation [Internet]. 2018 [pristupljeno 28.11.2021.];30(6):683-692. https://doi.org/10.7307/ptt.v30i6.2638
IEEE
M. Asadamraji, M. Saffarzadeh, A. Borujerdian i T. Ferdousi, "Hazard Detection Prediction Model for Rural Roads Based on Hazard and Environment Properties", Promet - Traffic&Transportation, vol.30, br. 6, str. 683-692, 2018. [Online]. https://doi.org/10.7307/ptt.v30i6.2638

Sažetak

A driver’s reaction time encountering hazards on roads involves different sections, and each section must occur at the right time to prevent a crash. An appropriate reaction starts with hazard detection. A hazard can be detected on time if it is completely visible to the driver. It is assumed in this paper that hazard properties such as size and color, the contrast between the environment and a hazard, whether the hazard is moving or fixed, and the presence of a warning are effective in improving driver hazard detection. A driving simulator and different scenarios on a two-lane rural road are used for assessing novice and experienced drivers’ hazard detection, and a Sugeno fuzzy model is used to analyze the data. The results show that the hazard detection ability of novice and experienced drivers decreases by 35% and 64%, respectively, during nighttime compared to daytime. Also, moving hazards increase hazard detection ability by 9% and 180% for experienced and novice drivers, respectively, compared to fixed hazards. Moreover, increasing size, contrast, and color difference affect hazard detection under nonlinear functions. The results could be helpful in safety improvement solution prioritization and in preventing vehicle-pedestrian, vehicle-animal, and vehicle-object crashes, especially for novice drivers.

Hrčak ID: 214140

URI
https://hrcak.srce.hr/214140

Posjeta: 400 *