Investigating the Effect of Moonlight on Accidents on Unlit Roads

Document Type : Original Article

Authors
Hamid Mirzahossein 1
Mohammad Amin Ebrahimzadeh 2
Nahid Amini 3
1 Associate Professor, Department of Civil Engineering, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran.
2 Ph.D., Candidate, Majoring in Transportation Planning, Faculty of Civil Engineering, Arts and Architecture, Tehran Science and Research, Tehran, Iran.
3 Ph.D., Candidate, Department of Civil Engineering, Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran.
10.22034/road.2024.443138.2256
Abstract
Today, traffic accidents and the resulting damages are one of the major problems of road transportation in the country. The need to control these incidents in order to prevent accidents as much as possible and as a result to reduce many human and financial losses is fully felt. One of the important parameters on traffic accidents on the country's roads is road lighting. Moonlight brightens the road surface and increases drivers' visibility and sense of security, which can be considered as the positive effects of moonlight on reducing accidents. The purpose of this research is to investigate the effects of the moon on the number of road accidents during moonlit nights. A number of 9 out-of-town highways from Kerman, Kermanshah and Kurdistan provinces were used as a case study in this research, and the accident data of these 9 highways in the years 1996 to 1998 were used to compare the effect of moonlight on moonlit nights and at night. Non-moonshine was used. The result showed that with the increase of the crescent moon or the increase of the moonlight, accidents with damage, injury and death all decrease significantly. In general, by comparing the correlation of the crescent moon variable and the total number of accidents that happened at night, it shows that with the increase of the crescent moon, the total number of accidents decreases by -0.631.
Keywords
Crashes
Safety
Moon Light
-Anderson, S.J. and I.E. Holliday (1995). Night driving: effects of glare from vehicle headlights on motion perception. Ophthalmic and Physiological Optics, 15(6), 545-551.
-Driving at Night - Driving Safety Tips - Popular Mechanics (2012).
-Bullough, J.D. and M.S. Rea (2000). Simulated driving performance and peripheral detection at mesopic and low photopic light levels. International Journal of Lighting Research and Technology, (4)32, 194-198.
-Dominguez, V. and M. Gentzler, (2011). How perceptual and cognitive factors are involved in a car accident: A case study. The Pegasus Review, UCF Undergraduate Research Journal, 5(1), 5-6.
Liu, J., et al., (2019). Exploring factors affecting the severity of night-time vehicle accidents under low illumination conditions. Advances in Mechanical Engineering. 11(4), 1687814019840940.
-Lefler, D.E. and H.C. Gabler, (2004). The fatality and injury risk of light truck impacts with pedestrians in the United States. Accident Analysis & Prevention, 36(2), 295-304.
-Mannering, F.L., V. Shankar, and C.R. Bhat, (2016). Unobserved heterogeneity and the statistical analysis of highway accident data. Analytic Methods in Accident Research. 11, 1-16.
-Meyers, W., (1981). Comparison of truck and passenger-car accident rates on limitedaccess facilities. Transportation Research Record, 808, 48-53.
-Neale, W., J. Marr, N. McKelvey, and M. Kuzel (2019). Nighttime Visibility in Varying Moonlight Conditions, SAE International.
- Michael Sivak, Brandon Schoettle & Omer Tsimhoni, (2007). Moon Phases and Nighttime Road Crashes Involving Pedestrians. The Journal of the Illuminating Engineering Society of North America. 4, 2, 129-131.
-Sullivan JM and Flannagan MJ. (2002). The role of ambient light level in fatal crashes: Inferences from daylight saving time transitions. Accid Anal Prev.
-Tipprasert, W., T. Charoenpong, C. (2019). Chianrabutra, and C. Sukjamsri. A method of driver’s eyes closure and yawning detection for drowsiness analysis by infrared camera. in 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP). IEEE.
-Vithanage, W., et al. (2022). Smart Driver Assistance for Traffic Sign, Pothole, Vehicle Malfunction, and Accident Detection. in 2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE.
-Wood, J.M., (2019). Nighttime driving: visual, lighting and visibility challenges. Ophthalmic and Physiological Optics.
 -Wood, J.M. and O. D ALFRED, (2005). Standard measures of visual acuity do not predict drivers’ recognition performance under day or night conditions. Optometry and Vision Science, 82(8), 698-705.
Ebrahimzadeh, M. A. , Javanshir, H. , & Alikhani, A. (2024). Forecasting the volume of passenger demand using artificial neural network model (case study- line 10 BRT of Tehran). Road. 
 doi: 10.22034/road.2024.415667.2197
-Maniat, M., & Eebrahimzadeh, A. (2024). Enhancing Traffic Prediction Accuracy: A Comparative Analysis of Data Quality and Model Evaluation Using Artificial Intelligence. doi.org/10.20944/preprints202401.1917.v1
Ebrahimzadeh, M. A. , Dabbaqi, M. , & Nakhaie, N. (2024). Investigating the reduction of the error caused by the counting of vehicle traffic in city license plate reader cameras by mathematical models (case study: Mashhad city). Road.
 doi: 10.22034/road.2024.416435.2199
Jashnian, A. H. , Ebrahimzadeh, M. A. , & Yaghoobii, S. (2024). Analysis and evaluation of hourly changes in travel consumption volume and the number of severe accidents in inner-city roads (case study of Qom city). Road.
doi: 10.22034/road.2024.416743.2201
Ebrahimzadeh, M. A. , Nakhaie, N. , & Dabbaqi, M. (2024). Investigating the Influential Personality and Demographic Variables of the Behavior of Public Transport and Freight Drivers in the Factors of Accidents (Case Study: Karaj City). Road, 32(120), 375-388. doi: 10.22034/road.2024.416580.2200
rahimzadeh, M. A. , Javanshir, H. , & Esfandiyari, M. (2024). Analysis and Evaluation of Smart Ramp Metering System on Urban Traffic Flow Control (Case Study: Tehran-Hakim Highway). Road, 32(121), 219-234.
doi: 10.22034/road.2024.415615.2196