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Navid Nadimi
Navid Nadimi
Associate Professor of Civil Engineering (Shahid Bahonar University of Kerman)
Verified email at uk.ac.ir
Title
Cited by
Cited by
Year
A general formulation for time-to-collision safety indicator
M Saffarzadeh, N Nadimi, S Naseralavi, AR Mamdoohi
Proceedings of the Institution of Civil Engineers-Transport 166 (5), 294-304, 2013
902013
A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers
AM Amiri, A Sadri, N Nadimi, M Shams
Accident Analysis & Prevention 138, 105468, 2020
772020
Calibration and validation of a new time-based surrogate safety measure using fuzzy inference system
N Nadimi, H Behbahani, HR Shahbazi
Journal of traffic and transportation engineering (English edition) 3 (1), 51-58, 2016
512016
An evaluation of time-to-collision as a surrogate safety measure and a proposal of a new method for its application in safety analysis
N Nadimi, DR Ragland, A Mohammadian Amiri
Transportation letters 12 (7), 491-500, 2020
432020
New time-based surrogate safety measure to assess crash risk in car-following scenarios
H Behbahani, N Nadimi, SS Naseralavi
Transportation Letters 7 (4), 229-238, 2015
372015
Developing a new surrogate safety indicator based on motion equations
H Behbahani, N Nadimi, H Alenoori, M Sayadi
Promet-Traffic&Transportation 26 (5), 371-381, 2014
252014
Comparing the efficiency of different computation intelligence techniques in predicting accident frequency
AM Amiri, N Nadimi, A Yousefian
IATSS Research, 2020
222020
A framework for applying surrogate safety measures for sideswipe conflicts
H Behbahani, N Nadimi
International Journal for Traffic & Transport Engineering 5 (4), 371-383, 2015
222015
Deciding about the effective factors on improving public transit popularity among women in developing countries
N Nadimi, AK Sangdeh, AM Amiri
Transportation Letters 13 (10), 707-715, 2021
202021
GIS-based crash hotspot identification: a comparison among mapping clusters and spatial analysis techniques
AM Amiri, N Nadimi, V Khalifeh, M Shams
International journal of injury control and safety promotion 28 (3), 325-338, 2021
182021
Increasing the efficiency of vehicle ad-hoc network to enhance the safety status of highways by artificial neural network and fuzzy inference system
H Behbahani, A Mohammadian Amiri, N Nadimi, DR Ragland
Journal of Transportation Safety & Security 12 (4), 501-521, 2020
142020
Analyzing traffic violations among motorcyclists using structural equation modeling
N Nadimi, F Mansourifar, H Shamsadini Lori, M Soltaninejad
International journal of injury control and safety promotion 28 (4), 454-467, 2021
122021
Developing sustainable transportation for university trips in low-income countries
N Nadimi, AK Sangdeh, H Kamkar
Proceedings of the Institution of Civil Engineers-Engineering Sustainability …, 2021
112021
Calculating dynamic thresholds for critical time to collision as a safety measure
N Nadimi, SS NaserAlavi, M Asadamraji
Proceedings of the Institution of Civil Engineers-Transport 175 (7), 403-412, 2022
102022
An Analysis of pedestrian fatal accident severity using a binary Logistic Regression model
HZ Dovom, MSMZ Dovom, N Nadimi
Institute of Transportation Engineers. ITE Journal 82 (4), 38, 2012
102012
Evaluating the impact of socio-economic contributing factors of cities in California on their traffic safety condition
AM Amiri, K Naderi, JF Cooper, N Nadimi
Journal of Transport & Health 20, 101010, 2021
92021
Introducing novel statistical-based method of screening and combining currently well-known surrogate safety measures
N Nadimi, AM Amiri, A Sadri
Transportation letters 14 (4), 385-395, 2022
82022
Parking demand vs supply: an optimization-based approach at a university campus
N Nadimi, S Afsharipoor, A Mohammadian Amiri
Journal of Advanced Transportation 2021, 1-15, 2021
82021
Proposing a Model for Ranking Hotspots in Rural Roads Using a Multi-criteria Decision-making Method
N Nadimi, SSN Alavia, AHZ Mirhosseinia, AM Amirib
Computational Research Progress in Applied Science & Engineering (CRPASE) 3 …, 2017
52017
Predicting Crash Severity Based on Its Related Collision Type Using Five Data Mining Techniques
AM Amiri, N Nadimi, DR Ragland, R Imaninasab
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
42018
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