ORIGINAL_ARTICLE
Evaluation of performance characteristics of asphalt mixture reinforced with palm tree fibers
Despite the high cost of paving the roads in Iran, according to experts, the useful life of asphalt is expected to be only 3 to 5 years. Due to the abundance of palm trees, the objective of this study is to determine the resistance of palm fiber-reinforced asphalt mixtures as an additive and asphalt modifier. In this study, four types of mixtures were prepared. The first mix was prepared as a control and non-fibrous mixture, and the second type were mixed with 0.1% and the third type with 0.3% and the fourth type with 0.5% weight of asphalt mixture of palm fiber. Six samples were prepared for each mixture, three samples were dried and three others were tested after partial saturation and moisture treatment with a melting and freezing cycle (24 samples). The Semi-Circular Bend Test (SCB), Marshall Stability of bituminous mixture, flow tests, indirect tensile strength, resilient modulus and moisture damage were assessed. The results of indirect tensile strength test showed that the use of palm fiber in dry condition at all percentages of 0.3, 0.4 and 0.5% improves the resistance. In saturated state, for fibers added up to 0.3% results were positive, but for more fibers, the results were negative. For moisture sensitivity parameter of the asphalt mixtures of the addition of fiber up to 0.3%, the least moisture damage was observed. The results of the resilient modulus of the mixtures showed that using 0.3% fiber had better result than other percentages and control sample.
http://www.ijte.ir/article_127586_2feca1df859c9ca5fd0f50ba64ed846e.pdf
2021-04-01
317
334
10.22119/ijte.2021.164965.1453
Asphalt, Modifiers
Palm fiber
Indirect Tensile Strength
Marshall Test
Seyed Farzin
Faezi
farzin_faezi@yahoo.com
1
Assistant Professor, Department of Civil Engineering, Payame- Noor University, Teran, Iran
LEAD_AUTHOR
Mohammad Reza
Elyasi
elyasi.mr@gmail.com
2
Assistant Professor,Department of Civil Engineering, Malayer University, Malayer, Iran
AUTHOR
Mehrdad
Mirshekarian Babaki
mhrdiut@gmail.com
3
Ph.D. Graduate, Department of Civil Engineering,Payame Noor University,Tehran,Iran
AUTHOR
Sadegh
Riahi
sadegh.riahi63@gmail.com
4
MSc. Grad., Department of Civil Engineering,Payame Noor University, Tehran,Iran
AUTHOR
-Ahmed, F. Bateni, F. and Azmi, M. (2010) “Performance evaluation of silty sand reinforced with fibres”, Geotextiles and Geomembranes, Vol.28, pp. 93–99.
1
-Al-Hadidy, A. I. and Yi-Qiu, T. (2016) “Mechanistic approach for polypropylene-modified flexible pavements”, Materials & Design, Vol.30, No.4, pp. 1133–1140.
2
-Behbahani, H. Ayazi, H. Shojaee, M., (2018) “Laboratory evaluation of moisture sensitivity and burst potential of semi-warm asphalt mixtures”, transport infrastructure engineering, Vol. 7, No.3, pp.405-418. (In Persian).
3
-Boukhattem, L. Boumhaout, M. Hamdi, H. Benhamou, B. Ait Nouh, F. (2018) “Moisture content influence on the thermal conductivity of insulating building materials made from date palm fibers mesh”, Construction and Building Materials, Vol. 148, pp. 811-823.
4
-Cleven, M. A. (2013) “Investigation of the properties of carbon fiber modified asphalt mixtures”, Thesis (M.S.) Michigan Technological University.
5
-Esmaeili, A and Ghale Noi, A. (2012) “The effect of palm and lime as a natural stabilizer on the mechanical properties of clay in environmental conditions with 35% moisture”, housing and environment of the village, Vol. 31, No. 127, pp. 53-62. (In Persian).
6
-Goli, A. Aboutalebi, M. Amini, A. Latifi, A. (2018) “Evaluating the Effect of Lucobit on Moisture Susceptibility and Mechanical Performance of Bitumen and Asphalt Mixtures” International Journal of Transportation Engineering, Vol. 6, No. 2, pp. 177-189.
7
-Hadizadeh, H and Ghasemi, M. (2016) “Laboratory study of the effect of palm fiber and palm ash on cement stabilized sandstone”, National Conference on Applied Research in Imran, Architecture, Tabriz, pp. 1-17. (In Persian).
8
-Hashmiyan, L. and Kavussi, A. (2010) “Evaluation of the characteristics of hot-mixes of bitumen produced using two types of bitumen WMA-Foam”, Journal of Engineering, Vol.1, No.3, pp. 1-12. (In Persian).
9
-Howaidi, M. Al-Suhaibani, A. S. Alsoliman, H.A. (2016) “Physical and Rheological Properties of Asphalt Modified with Cellulose Date Palm Fibers”, World Academy of Science, Engineering and Technology International Journal of Civil and Environmental Engineering, Vol. 10, No. 5, pp. 583-587.
10
-Jenq, Y.S. Liaw, C.J. and Lieu, P. (2014) “Analysis of Crack Resistance of Asphalt Concrete Overlays a Fracture Mechanics Approach”, Transportation Research Record, pp. 160-166.
11
-Kavussi, A. Saebi, J. (2018) “Stabilization of coastal impassable soil using cement and date palm fibers for pavement”, engineering of transport infrastructure, Vol. 2, No. 4, pp. 61-72. (In Persian).
12
-Kazemi, B. (2012) “Laboratory study of the effect of using polyester and acrylic fiber on the potential dropping capacity and resistance to moisture losses of hot asphaltic mixtures”, Master's thesis, Azad University of Zanjan Branch. (In Persian).
13
-Maher, M. H. and Gray, D. H, (1990) “Static response of sand reinforced with randomly distributed fibers”, Journal of Geo-technical Engineering (ASCE), Vol.116, No.11, pp. 1661-1677.
14
-Marandi, S.M. Bagheripour, M.H. Rahgozar, R. and Zare, H. (2008) “Strength and Ductility of Randomly Distributed Palm Fibers Reinforced Silty-Sand Soils”, American Journal of Applied Sciences, Vol.5, No.3, pp. 209-220.
15
-Maurer, D. A. and Malasheskie, G. J. (2016) “Field performance of fabrics and fibers to retard reflective cracking”, Geotext. Geomembranes, Vol. 8, No.3, pp. 239–267.
16
-Mirzababaei, P. Ziari, H. Babagli, R. Moniri, A. (2018) “Investigation of the Effect of zycotherm on the Properties of Semi-Hot Asphalt Prepared with Calcareous and Silica Materials”, Transport Infrastructure Engineering, Vol. 4, No. 1, pp. 15-22. (In Persian).
17
-Modarres, A. and Hamedi, H. (2016) “Hardness and Fatigue Characteristics of Asphalt Mixing with Plastic PET Bottles”, Transportation Engineering, Vol. 5, No. 4. (In Persian).
18
-Nazarinasab, A. Ghasemi, M. Marandi, M. (2018) “Performance Improvement of Porous Asphalt Mixtures using Crumb Rubber and Steel Slag Powder”, International Journal of Transportation Engineering, Vol.6, No.2, pp. 99-110.
19
-Otoko, G. R. Ephriam, M. E. and Ikegboma, A. (2014) “reinforcement of a lateritic soil using oil palm fruit fibre”, International Journal of Engineering and Technology Research, Vol.2, No.6, pp. 1-5.
20
-Q.U, J. & Zhao, D. (2016) “Stabilising the cohesive soil with palm fibre sheath strip”, Journal Road Materials and Pavement Design, Vol.17, No.1, pp. 87-103.
21
-Shah Husseini, V. Amiri, A. (2015) “Comparative properties of fiber asphalt and asphalt mixtures”, International Conference on Civil Engineering, Architecture and Sustainable Development, Tabriz, Islamic Azad University, Tabriz Branch. (In Persian).
22
-Taherkhani, H. and Kazemi Sani Farimani, B. (2018) “Laboratory review of the effect of using carbon fiber and nylon on concrete performance of asphaltic concrete”, transport infrastructure engineering, Vol.6, No. 4, pp.593-612. (In Persian).
23
-Tapkin, S. (2015) “The effect of polypropylene fibers on asphalt performance”, Building and Environment,Vol. 43, No.6, pp.1065–1071.
24
-Ziari, H., Saghafi, Y., Moniri, A., & Bahri, P. (2020). The effect of polyolefin-aramid fibers on performance of hot mix asphalt. Petroleum Science and Technology, Vol. 38, No. 3, PP. 170-176
25
-Ziari, H., Aliha, M. R. M., Moniri, A., & Saghafi, Y. (2020). Crack resistance of hot mix asphalt containing different percentages of reclaimed asphalt pavement and glass fiber. Construction and Building Materials, 230, 117015.
26
-Ziari, H., and Moniri, A. (2019). Laboratory evaluation of the effect of synthetic Polyolefin-glass fibers on performance properties of hot mix asphalt. Construction and Building Materials, 213, pp. 459-468.
27
ORIGINAL_ARTICLE
Moderation Effect of Raveling on Bleeding failure of Flexible Pavements
This paper evaluates the moderation effect of raveling on bleeding failure of Flexible pavements with the support of moderation models. Failures in flexible pavements results due to its component layers which undergo distress due to innumerable causes. There are different types of failures in flexible pavements like alligator cracking, corrugations, shoving, pot holes, rutting, raveling and bleeding. Determination of the type and extent of failure and its reason is necessary to facilitate correction in mix design, construction and maintenance for the road projects. A moderator is a qualitative or quantitative variable that affects the direction and/or strength of the relation between an independent or predictor variable and a dependent or criterion variable. Four road sections have been considered for data collection and model validation. Linear models have been developed to check the mediation and moderation effects of raveling on bleeding failure for both the roads and these models are validated on other two road sections. The study accentuates that there is no mediating effect of raveling on bleeding but it effects the bleeding moderately. These validated models can be surely used to find the bleeding failure, if ravelling parameters are known and hence, the survey time and cost can be minimized.
http://www.ijte.ir/article_122106_0cd77bbc66502e68250548c5a8d0a354.pdf
2021-04-01
335
340
10.22119/ijte.2021.223891.1511
Rutting
Ravelling
Bleeding
Moderator
Mediator and chi-square test
shabana
Thabassum
shabana.t27@gmail.com
1
Ph. D. Research Scholar, Osmania University, Heydarabad, India
LEAD_AUTHOR
Molugaram
Kumar
kumartrans@gmail.com
2
Affliated to Osmania University, Hyderabad
AUTHOR
-Joelle De Visscher and Ann Vanelstraete, “Ravelling by traffic: Performance testing and field validation”, Science Direct, International Journal of Pavement Research and Technology 10 (2017) 54–61.
1
-Jundhare, D. R., Dr. Khare, K. C., and Dr. Jain, R. K. (2012) “Development Correlation between Benkelman Beam Deflection and Falling Weight Deflectometer for Conventional White topping Overly”, J. Basic. Appl. Sci. Res., 2(9)8725-8731.
2
-MacKinnon DP, Krull JL, Lockwood CM., “Equivalence of the mediation, confounding, and suppression effect”. Prevention Science 2000; 1:173-181. 10. 1023 / A: 1026595011371.
3
-Milind V. Mohod and Dr. Kadam. K. N. “A Comparative Study on Rigid and Flexible Pavement: A Review”, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), e-ISSN: 2278-1684, p-ISSN: 2320-334X, Volume 13, Issue 3 Ver. VII (May- Jun. 2016), PP 84-88.
4
-Shabana Thabassum and Dr. Kumar, M. “Age Factor in Truck Driver Behavioral Modeling – Indian Conditions” Indian Highways, December 2019.
5
-Tom V. Mathew and K V Krishna Rao, “Introduction to Transportation Engineering”, NPTEL May 3, 2007.
6
ORIGINAL_ARTICLE
Taste variation of the elderly mode choice: The role of socio-economic, attitude and behavior factors
Considering increasing population aging in many countries, it is necessary to pay more attention to the travel behavior of the elderly. Although previous studies show that attitudes play an important role in mode choice, few studies investigate the effect of these factors in mode choice of the elderly, practically, heterogeneity and its source. This research investigates the role of socio-economic and attitude factors on taste variation of the elderly in mode choice, and its main sources. Based on a total of 524 questionnaires distributed among the elderly in thirteen districts of Mashhad, Iran in January 2016, factor analysis is used to identifying attitude factors like environmental, safety, convenience, comfort, and flexibility. Mixed logit (MXL) and latent class (LC) models are employed to test heterogeneity among the elderly and also to determine its possible sources. Results of MXL show that several socio-economic, travel mode attributes and attitude factors have a significant effect on the elderly mode choice, which car ownership of the elderly and travel time of walking are heterogeneous variables among parameters with random normal distribution coefficient. Moreover, the results of latent class models show that flexibility is the main source of heterogeneity based on which individuals will fall into two classes. Results show that increasing the importance of the individual's attitude toward flexibility of travel mode, reduces the probability of individual's membership in class 1. Significant variables in class 1 include: having no accompanied, having a driving license, car ownership, flexibility, the travel time of walking and comfort. Findings suggest that identifying needs of the elderly and reducing travel time for non-mandatory trips encourage them to use public and walking mode. Also, incentive policies to reduce car ownership of the elderly and increase safety and comfort in other travel modes are essential factors in reducing the use of a private car for this age group.
http://www.ijte.ir/article_122447_a83ea41eef618f40362e03ad3ea90867.pdf
2021-04-01
341
362
10.22119/ijte.2021.140699.1418
Attitude
heterogeneity
The elderly
mode choice
latent class model
mixed logit model
hamed
omrani
hamed.omrani65@gmail.com
1
Tarrahan Parseh Transportation Research Institute, Tehran, Iran.
AUTHOR
Amir Reza
Mamdoohi
armamdoohi@modares.ac.ir
2
Transportation Planning Dept., Civil & Envi. Eng. Faculty, Tarbiat Modares University
LEAD_AUTHOR
Iman
Farzin
iman.farzin@modares.ac.ir
3
Transportation Planning Dept.,civil &Envi, Eng.faculty,Tarbiat Modares University
AUTHOR
-Alsnih, R., and Hensher, D. A. (2003) “The mobility and accessibility expectations of seniors in an aging population”, Transportation Research Part A: Policy and Practice, Vol. 37, No. 10, pp. 903-916.
1
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3
-Böcker, L., van Amen, P. and Helbich, M. (2017). “Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands.” Transportation, Vol. 44, No. 4, pp. 831-852.
4
-Burkhardt, J., Berger, A. and Creedon, M. (1998). “Mobility and independence: Changes and challenges for older drivers: Ecosometrics, Inc. for the Coordinating Council on Mobility and Access.” The US Department of Human Services and Traffic Safety Administration.
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15
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16
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17
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18
-Hosoda, T. (1999). “Incorporating unobservable heterogeneity in discrete choice model: mode choice model for shopping trips.” Doctoral dissertation, Massachusetts Institute of Technology.
19
-Iran Statistic center. https://www.amar.org.ir/english.
20
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22
-Kim, J., Rasouli, S., & Timmermans, H. (2014). “Hybrid choice models: principles and recent progress incorporating social influence and nonlinear utility functions.” Procedia Environmental Sciences, Vol. 22, pp. 20-34.
23
-Kim, S., & Ulfarsson, G. (2004). “Travel mode choice of the elderly: effects of personal, household, neighborhood, and trip characteristics.” Transportation Research Record: Journal of the Transportation Research Board, Vol.1894, pp.117-126.
24
-Li, H., Raeside, R., Chen, T., & McQuaid, R. W. (2012). “Population ageing, gender and the transportation system.” Research in transportation economics, Vol.34, No.1, pp.39-47.
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27
- Metz, D. H. (2000). “Mobility of older people and their quality of life.” Transport policy, Vol.7, No.2, pp.149-152.
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31
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37
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40
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-Su, F., Schmöcker, J. D. and Bell, M. G. (2009). “Mode choice of older people before and after shopping: a study with London data.” Journal of Transport and Land Use, Vol.2, No.1, pp.29-46.
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-Train, K. (1980). “A structured logit model of auto ownership and mode choice.” The Review of Economic Studies, Vol.47, No.2, pp.357-370.
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-Van Acker, V., Mokhtarian, P. L., and Witlox, F. (2014). “Car availability explained by the structural relationships between lifestyles, residential location, and underlying residential and travel attitudes.” Transport Policy, Vol.35, pp.88-99.
49
-Van den Berg, P., Arentze, T., and Timmermans, H. (2011). “Estimating social travel demand of senior citizens in the Netherlands.” Journal of Transport Geography, Vol.19, No.2, pp.323-331.
50
-Verplanken, B., Walker, I., Davis, A., & Jurasek, M. (2008). “Context change and travel mode choice: Combining the habit discontinuity and self-activation hypotheses.” Journal of Environmental Psychology, Vol.28, No.2, pp.121-127.
51
-Walker, J., & Ben-Akiva, M. (2002). “Generalized random utility model.” Mathematical social sciences, Vol.43, No.3, pp.303-343.
52
-Walker, J. L. and Ben-Akiva, M. (2011). “Advances in discrete choice: mixture models.” Handbook in transport economics, pp. 160-187.
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54
ORIGINAL_ARTICLE
Effects of Combined Environmental Factors on Stiffness and Rutting Properties of Warm Mix Asphalt
Abstract
Warm mix asphalt (WMA) is a sustainable clean product that can be fabricated at lower temperatures. This is an environmentally friendly mixture due to its lower emission and energy consumption in asphalt production plants. Moisture conditioning and aging process are two environmental factors that can adversely affect the stiffness properties of this product. In the field, WMAs are subjected to both moisture damage and aging. In this paper, a new laboratory method was used for evaluating the combined effects of aging and moisture conditioning of WMA samples. WMA specimens were fabricated at various compaction temperatures with different amounts of a surfactant-wax warm additive. Stiffness properties of asphalt mixtures were quantified from the resilient modulus and dynamic creep test. The results showed that moisture conditioning and aging are competing to affect the stiffness properties of mixtures. Polymer modified asphalt mixtures were found to be less susceptible to moisture damage when compared to mixtures fabricated with unmodified binder. Compaction temperature was the most significant factor that affected the resilient modulus of WMA. In the dynamic creep test, the combined effects of aging and moisture conditioning reduced the cumulative micro strain of samples regardless of binder type, additive content and compaction temperature.
http://www.ijte.ir/article_127609_7887ad95fbf84ee6cbb48dcdf2144301.pdf
2021-04-01
363
382
10.22119/ijte.2021.209944.1502
Warm Mix Asphalt
aging
Creep
Moisture Damage
Resilient Modulus
Babak
Golchin
golchin_babak@yahoo.com
1
Department of Civil Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
AUTHOR
Meor Othman
Hamzah
cemeor@yahoo.com
2
School of Civil Engineering, Universiti Sains Malaysia
LEAD_AUTHOR
Jan
Valentin
jan.valentin@fsv.cvut.cz
3
Department of Road Structures, Faculty of Civil Engineering, Czech Technical University, Prague, Czech Republic
AUTHOR
- American Association of State Highway and Transportation Officials, (2002). “AASHTO- R30. Standard practice for mixture conditioning of hot-mix asphalt (HMA)”.
1
- Aman, M.Y. (2013). “Water sensitivity of warm porous asphalt incorporating sasobit®”. (Unpublished doctoral dissertation). Universiti Sains Malaysia: Malaysia.
2
- American Society for Testing and Materials. (1995). “ASTM D4123. Standard test method for indirect tension test for resilient modulus of bituminous mixtuers”.
3
- Copeland, A.R., Youtcheff, J., and Shenoy, A. (2007). “Moisture sensitivity of modified asphalt binders: Factors influencing bond stcrength”. Transportation Research Record: Journal of the Transportation Research Board, Vol 1998, No 1, pp. 18-28.
4
- Daniel, J.S., and Lachance, A. (2005). “Mechanistic and volumetric properties of asphalt mixtures with recycled asphalt pavement”. Journal of Transportation Research Record, Vol 1929, No 1, pp. 28-36.
5
- Fan, Z., Wang, X., Zhang, Z. and Zhang, Y. (2019). “Effects of cement–mineral filler on asphalt mixture performance under different aging procedures”. Applied Sciences, Vol 9, No 18, pp. 3785.
6
- Golchin, B., and Mansourian, A. (2017). “Evaluation of fatigue properties of asphalt mixtures containing reclaimed asphalt using response surface method”. International Journal of Transportation Engineering, No 4, pp. 335-350.
7
- Hamzah, M.O., Kakar, M.R., Quadri, S.A., and Valentin, J. (2014). “Quantification of moisture sensitivity of warm mix asphalt using image analysis technique”. Journal of Cleaner Production, Vol 68, pp. 200-208.
8
- Hamzah, M.O., Golchin, B., Jamshidi, A., and Chailleux, E. (2014). “Evaluation of Rediset for use in warm-mix asphalt: a review of the literatures”. International Journal of Pavement Engineering, Vol 16, No 9, pp. 809-831.
9
- Hamzah, M.O., Gungat, L., and Golchin, B. (2017). “Estimation of optimum binder content of recycled asphalt incorporating a wax warm additive using response surface method”. International Journal of Pavement Engineering, Vol 18, No 8, pp. 682-692.
10
- Hicks, R.G., Santucci, L., and Aschenbrener, T. (2003). “Introduction and seminar objectives: moisture sensitivity of asphalt pavements”. Paper presented at transportation research board national seminar, San Diego, California.
11
- Kavussi, A., Hassani, A., Kazemian, F., and Taghipoor, M. (2019). “Laboratory evaluation of treated recycled concrete aggregate in asphalt mixtures”. International Journal of Pavement Research and Technology, Vol 12, No 1, pp. 26-32.
12
- Kayedi, D., Hosseini, M., and Mortazavi, R. (2017). “Analysis of the strength of hot in-place recycled asphalt, its affecting factors and its comparison with conventional methods”. International Journal of Transportation Engineering, Vol 4, No 4, pp. 351-358.
13
- Kim, K., Kim, Y., and Kim, N. (2019). “An evaluation of moisture sensitivity of asphalt concrete pavement due to aging”. Journal of the Korean Society of Civil Engineers, Vol 39, No 4, pp. 523-530.
14
- Khan, R., Grenfell, J., Collop, A., Airey, G., and Gregory, H. (2013). “Moisture damage in asphalt mixtures using the modified SATS test and image analysis”. Construction and Building Materials, Vol 43, pp. 165-173.
15
- Kim, Y.R. (2009). “Modeling of asphalt concrete”. United States of America: ASCE.
16
- Lu, Q. and Harvey, J.T. (2006). “Long-term effectiveness of antistripping additives: laboratory evaluation”. Journal of Transportation Research Record, Vol 1970, No 1, pp. 14-24.
17
- PWD. (2008). “Standard specifications for road works, section 4: flexible pavments”. Malaysia.
18
- Soleimanian, M., Harvey, J., Tahmoressi, M., and Tandon, V. (2003). “Test methods to predict moisture sensitivity of hot-mix asphalt pavements”. Paper presented at transportation research board national seminar. San Diego, California.
19
- Thomas, K.P. (2002). “Impact of water during the laboratory aging of asphalt”. Road Materials and Pavement Design, Vol 3, No 3, pp. 299-315.
20
ORIGINAL_ARTICLE
Development of a new integrated surrogate safety measure for applying in intelligent vehicle systems
This paper aims to develop a new Surrogate Safety Measure (SSM) for applying in In-vehicle collision avoidance warning systems. To send safety alarms, the amount of collision risk is required, which of course can be measured with only one measure. To accurately determine the risk of an accident at any given time, 7 valid safety measures including Time to collision (TTC), Modified TTC (MTTC), General formulation for TTC (GTTC), Deceleration-based surrogate safety measure (DSSM), Difference of Space distance and Stopping distance (DSS), Deceleration rate to avoid collision (DRAC), and Proportion of Stopping Distance (PSD) were used together and with different thresholds to provide a more accurate estimate of the risk for each moment. A certain range of thresholds was assigned to each of the mentioned measures. As a result, Adequate number of thresholds (in this paper 800 thresholds) were created for the 7 measures. One of the advantages of this system is that it not only considers the present time to provide an alarm, but also the recent past of the vehicle (the last half-second). This means that the proposed integrated measure can determine the risky situations by considering the past and present of the vehicle. Finally, given the estimated collision risk and also based on the ascending or descending trend of the risk according to the vehicle's past situation, five alarm types were designed. The greater the risk of a collision in a moment, the stronger and more efficient the alarm type.
http://www.ijte.ir/article_128676_45beaf711bbe026b08a7e4147a5e49d5.pdf
2021-04-01
383
398
10.22119/ijte.2021.260315.1547
car-following
read-end collision
surrogate safety measure
In-vehicle alarms
Mahmoud
Saffarzadeh
saffar_m@modares.ac.ir
1
Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Iran
LEAD_AUTHOR
Akram
Mazaheri
akram.mazaheri.010@gmail.com
2
PhD Student in Transportation Engineering, Tarbiat Modares University
AUTHOR
Saber
Naseralvai
saber_naseralavi@uk.ac.ir
3
Assistant Professor of Bahonar university , Kerman, Iran
AUTHOR
-Afukaar, Francis K. (2003) "Speed control in developing countries: issues, challenges and opportunities in reducing road traffic injuries", Inj Control Saf Promot, Vol. 10, N0. 1-2, pp. 77-81.
1
-Archer, J. (2005) "Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: A study of urban and suburban intersections" (Doctoral dissertation, KTH), Royal Institute of Technology, Stockholm, Sweden.
2
-Behbahani, H., Mohammadian Amiri, A., Nadimi, N., and Ragland, R.D. (2020) "Increasing the efficiency of vehicle ad-hoc network to enhance the safety status of highways by artificial neural network and fuzzy inference system", Journal of Transportation Safety & Security, Vol. 12, No. 4, pp. 501-521, DOI: 10.1080/19439962.2018.1501785.
3
-Brian, L., Allen, B. Shin, T., Cooper, P. J. (1978) "Analysis of traffic conflicts and collisions", Transportation Research Record, No. 667, pp. 67–74.
4
-C. Thiemann, M. Treiber, and A. Kesting (2008) "Estimating acceleration and lane-changing dynamics from next generation simulation trajectory data”, Transp. Res. Rec. J. Transp. Res. Board, Vol. 2088, No. 1, pp. 90–101.
5
-Hayward, J. (1971) "Near misses as a measure of safety at urban intersections", Ph.D. thesis, Dept. of Civil Engineering. The Pennsylvania State Univ., University Park.
6
-International Organization for Standardization (ISO). (2005) "Road vehicles – Ergonomic aspects of in-vehicle presentation for transport information and control systems – Warning systems (ISO/TR 16532)", Geneva, Switzerland: International Organization of Standards.
7
-Jacobs G, Aeron A, Astrop A. (2001) "Estimating Global Road Fatalities, TRL Report 445", Transportation Research Laboratory, London, England.
8
-Morando, M.M., Tian, Q., Truong, L.T., Vu, H.L., (2018) "Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures", J. Adv. Transp, Vol. 2018, DOI:10.1155/2018/6135183.
9
-Nadimi, N., Ragland, D.R., and Mohammadian Amiri, A. (2020) "An evaluation of time-to-collision as a surrogate safety measure and a proposal of a new method for its application in safety analysis", Transportation Letters: The International Journal of Transportation Research, Vol. 12, No. 7, pp. 491-500.
10
-National Highway and Traffic Safety Administration (2006) "State Traffic Information for Year 2002", NHTSA.
11
NSC. (2009) "Traffic Deaths Hit Record Low, Says National Safety Council", http://www.nsc.org/news/yearend_trafficreport09.aspx.
12
-Oh, C., Oh, J., and Min, J. (2009) "Real-time detection of hazardous traffic events on freeways", Transp. Res. Rec. J. Transp. Res. Board, Vol. 2129, No. 1, pp. 35–44.
13
-Olmstead, T. (2001) "Freeway management systems and motor vehicle crashes: a case study of Phoenix, Arizona", Accident Analysis and Prevention, Vol. 33, No. 4, pp. 433-447.
14
-Ozbay, K., Yang, H., Bartin, B., Mudigonda, S. (2008) "Derivation and Validation of New Simulation-Based Surrogate Safety Measure", Transportation Research Record. SAGE Publications Inc, Vol. 2083, No. 1, pp. 105–113. DOI: 10.3141/2083-12.
15
-Saffarzadeh, M., Nadimi, N., Naseralavi, S., Mamdoohi, A.R. (2013) "A general formulation for time-to-collision safety measure", Proceedings of the Institution of Civil Engineers - Transport. ICE Publishing, Vol. 166, No. 5, pp. 294–304. DOI: 10.1680/tran.11.00031.
16
-Sehyun, T., Soomin, W., Hwasoo, Y. (2016) "Study on the framework of hybrid collision warning system using loop detectors and vehicle information", Transportation Research Part C, Vol. 73, pp. 202–218, DOI:10.1016/J.TRC.2016.10.014.
17
-Suetomi, T., Kido, K. (1997) "Driver behavior under a collision warning system – a driving simulator study", SAE Technical Publication, Vol.106, Sec. 6, pp. 452-458.
18
-World Health Organization (WHO). (2018) "Global Status Report on Road Safety", 2018, Geneva.
19
-Xie, K., Yang, D., Ozbay, K., Yang, H., (2019) "Use of real-world connected vehicle data in identifying 33 high-risk locations based on a new surrogate safety measure", Accident Analysis & Prevention, Vol. 34, No. 125, pp. 311-319.
20
-Yang, D., Xie, K., Ozbay, K., Yang, H., (2021) "Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters", Accident Analysis & Prevention Vol. 152, pp. 105971.
21
-Zhao, P., & Lee, C. (2018) "Assessing rear-end collision risk of cars and heavy vehicles on freeways using a surrogate safety measure", Accident Analysis & Prevention, Vol. 113, pp. 149-158.
22
-Zhao, X., Jing, S., Hui, F., Liu, R., and Khattak, A.j., (2019) "DSRC-based rear-end collision warning system–An error-component safety distance model and field test", Transp. Res. C, Emerg. Technol., Vol. 107, pp. 92–104, DOI: 10.1016/j.trc.2019.08.002.
23
ORIGINAL_ARTICLE
Evaluation of the effect of driving education and training programs on modification of driver's dangerous behaviors
In Iran, despite all efforts have been devoted to reduce crash frequencies, statistics indicate that the crash fatalities have recently been increasing. In more than 90% of accidents, human errors and misjudgements have been reported to be the main contributing factor. This has drawn significant attention to problems relating to driving style, which are generally formed by early-stage driver's education and training programs (DETPs). In this regard, in Iran, like any other jurisdiction, beginner drivers must participate in a short-term DETP before taking the driving license exam. The programs consist of two parts: classroom theory education and in-car practical training. This paper seeks to evaluate the effect of DETP on dangerous driving behaviours of drivers using Structural Equation Modelling (SEM). Accordingly, data relating to 510 drivers were gathered, regarding their demographics and attitudes about DETPs specifications. Results indicated that training can be more effective than education in reducing unsafe behaviours. In addition, human characteristics have been identified as an important factor in decreasing risky driving and this can easily fade the impact of a proper DETP. The related administrates also must consider more seriousness for the final exams and assessments of DETPs. Finally, the establishment of strict rules and punishments for traffic violations can be a successful way of increasing the efficiency of DEPTs.
http://www.ijte.ir/article_123120_3728d24ac78475b49a5ca1e1643a1187.pdf
2021-04-01
399
414
10.22119/ijte.2021.237613.1523
Education
Driver
Structural Equation Modelling
safety
Training
Navid
Nadimi
navidnadimi@uk.ac.ir
1
Civil Engineering Department, Shahid Bahonar University, Kerman, Iran
AUTHOR
Vahid
Khalifeh
vahid.khalifeh@sirjantech.ac.ir
2
Assistant Professor, Department of Civil Engineering,, Sirjan University of Technology, Sirjan, Iran
LEAD_AUTHOR
Amin
Khoshdel Sangdeh
aminkhoshdel@eng.uk.ac.ir
3
Transportation Studies Laboratory, Shahid Bahonar University
AUTHOR
Amir
Mohammadian Amiri
amiria7@mcmaster.ca
4
Postdoctoral Researcher, McMaster Institute for Transportation & Logistics (MITL) McMaster University, Hamilton, ON, Canada
AUTHOR
- Alvaro, P. K., Burnett, N. M., Kennedy, G. A., Min, W. Y. X., McMahon, M., Barnes, M., Jackson, M., & Howard, M. E. (2018). "Driver education: Enhancing knowledge of sleep, fatigue and risky behaviour to improve decision making in young drivers". Accident Analysis and Prevention, Vol. 112, pp. 77–83. https://doi.org/10.1016/j.aap.2017.12.017
1
- Amiri, A. M., Sadri, A., Nadimi, N., Shams, M., (2020). "A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers". Accident Analysis and Prevention, Vol. 138, pp. 105468.
2
https://doi.org/10.1016/j.aap.2020.105468
3
- Asadamraji, M., Saffarzadeh, M., Borujerdian, A., & Ferdosi, T. (2018). "Hazard detection prediction model for rural roads based on hazard and environment properties". Promet - Traffic - Traffico, Vol. 30, No. 6, pp. 683–692.
4
https://doi.org/10.7307/ptt.v30i6.2638
5
- Asadamraji, M., Saffarzadeh, M., Ross, V., Borujerdian, A., Ferdosi, T., & Sheikholeslami, S. (2019). "A novel driver hazard perception sensitivity model based on drivers’ characteristics: A simulator study". Traffic Injury Prevention, Vol. 20, No. 5, pp. 492–497. https://doi.org/10.1080/15389588.2019.1607971
6
- Asadamraji, M., Saffarzadeh, M., & Mirzaee Tayeghani, M. (2017). "Modeling Driver’s Hazard Perception using Driver’s Personality Characteristics". International Journal of Transportation Engineering Vol. 5, No. 2, pp. 167-182.
7
https://doi.org/10.22119/IJTE.2017.46520
8
- Beanland, V., Goode, N., Salmon, P. M., & Lenné, M. G. (2013). "Is there a case for driver training? A review of the efficacy of pre- and post-licence driver training". Safety Science. Vol. 51, No. 1, pp. 127–137.
9
https://doi.org/10.1016/j.ssci.2012.06.021
10
- Behnood, H. R., Rajabpour, M., Rassafi, A. A., & Hermans, E. (2019). "Efficiency Analysis of Road Safety Pillars by Applying the Results of a Structural Equations Model in Data Envelopment Analysis Efficiency". International Journal of Transportation Engineering. Vol. 7, No. 3, pp. 315-327.
11
https://doi.org/10.22119/IJTE.2019.141484.1423
12
- Brijs, K., Cuenen, A., Brijs, T., Ruiter, R. A. C., & Wets, G. (2014). "Evaluating the effectiveness of a post-license education program for young novice drivers in Belgium". Accident Analysis and Prevention, Vol. 66, pp. 62–71.
13
https://doi.org/10.1016/j.aap.2014.01.015
14
- Christie, R. (2001). "The effectiveness of driver training as a road safety measure: an international review of the literature". Road Safety, Research, Policing and Education Conference : Proceedings : Regain the Momentum : Hilton on the Park.
15
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16
www.WHO.int/violence_injury_prevention
17
- Eboli, L., & Mazzulla, G. (2012). "Structural Equation Modelling for Analysing Passengers’ Perceptions about Railway Services". Procedia - Social and Behavioral Sciences, Vol. 54, pp. 96–106.
18
https://doi.org/10.1016/j.sbspro.2012.09.729
19
- Elvik, R., & Vaa, T. (2009). "Handbook of Road Safety Measures". Elsevier Science.
20
- Golob, T. F. (2003). "Structural equation modeling for travel behavior research". Transportation Research Part B: Methodological. Vol. 37, No. 1, pp. 1–25.
21
https://doi.org/10.1016/S01912615(01)00046-7
22
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23
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24
https://doi.org/10.1080/15389580500517644
25
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26
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27
- Kumfer, W., Liu, H., Wu, D., Wei, D., & Sama, S. (2017). "Development of a supplementary driver education tool for teenage drivers on rural roads". Safety Science, Vol. 98, pp. 136–144.
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https://doi.org/10.1016/j.ssci.2017.05.014
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35
- Petzoldt, T., Weiß, T., Franke, T., Krems, J. F., & Bannert, M. (2013). "Can driver education be improved by computer based training of cognitive skills?". Accident Analysis and Prevention, Vol. 50, pp. 1185–1192. https://doi.org/10.1016/j.aap.2012.09.016
36
- Rodwell, D., Hawkins, A., Haworth, N., Larue, G. S., Bates, L., & Filtness, A. (2018). "A mixed-methods study of driver education informed by the Goals for Driver Education: Do young drivers and educators agree on what was taught?". Safety Science, Vol. 108, pp. 140–148.
37
https://doi.org/10.1016/j.ssci.2018.04.017
38
- Sadia, R., Bekhor, S., & Polus, A. (2018). "Structural equations modelling of drivers’ speed selection using environmental, driver, and risk factors". Accident Analysis and Prevention, Vol. 116, pp. 21–29.
39
https://doi.org/10.1016/j.aap.2017.08.034
40
- Shell, D. F., Newman, I. M., Córdova-Cazar, A. L., & Heese, J. M. (2015). "Driver education and teen crashes and traffic violations in the first two years of driving in a graduated licensing system". Accident Analysis and Prevention, Vol. 82, pp. 45–52.
41
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42
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46
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47