Journal Articles
Hussain, F, Ali, Y, Li, Y, Haque, MM (Accepted for publication) Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics, Accident Analysis & Prevention, 199, pp.107517-107517, ISSN: 0001-4575. DOI: 10.1016/j.aap.2024.107517.
Singh, S,
Ali, Y, Haque, MM (2023)
A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data,
Accident Analysis & Prevention, 195, 107416, ISSN: 0001-4575. DOI:
10.1016/j.aap.2023.107416.
Ali, Y, Hussain, F, Haque, MM (2023)
Advances, challenges, and future research needs in machine learning-based crash prediction models: a systematic review,
Accident Analysis & Prevention, 194, 107378, ISSN: 0001-4575. DOI:
10.1016/j.aap.2023.107378.
Howlader, MM,
Ali, Y, Burbridge, A, Haque, MM (2023)
Before-after safety evaluation of part-time protected right-turn signals: an extreme value theory approach by applying artificial intelligence-based video analytics,
Accident Analysis & Prevention, 194, 107341, ISSN: 0001-4575. DOI:
10.1016/j.aap.2023.107341.
Alnawmasi, N,
Ali, Y, Yasmin, S (2023)
Exploring temporal instability effects on bicyclist injury severities determinants for intersection and non-intersection-related crashes,
Accident Analysis & Prevention, 194, 107339, ISSN: 0001-4575. DOI:
10.1016/j.aap.2023.107339.
Hussain, F,
Ali, Y, Li, Y, Haque, MM (2023)
Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and autoregressive integrated moving average model,
Analytic Methods in Accident Research, 40(2023), 100302, DOI:
10.1016/j.amar.2023.100302.
Subhan, F,
Ali, Y, Zhao, S, Oviedo-Trespalacios, O (2023)
Understanding and modeling willingness-to-pay for public policies to enhance road safety: a perspective from Pakistan,
Transport Policy, 141, pp.182-196, ISSN: 0967-070X. DOI:
10.1016/j.tranpol.2023.07.016.
Ali, Y, Raadsen, MPH, Bliemer, MCJ (2023)
Modelling speed reduction behaviour on variable speed limit-controlled highways considering surrounding traffic pressure: a random parameters duration modelling approach,
Analytic Methods in Accident Research, 40, 100290, ISSN: 2213-6657. DOI:
10.1016/j.amar.2023.100290.
Ali, Y, Zheng, Z, Bliemer, MCJ (2023)
Calibrating lane-changing models: Two data-related issues and a general method to extract appropriate data,
Transportation Research Part C: Emerging Technologies, 152, pp.104182-104182, ISSN: 0968-090X. DOI:
10.1016/j.trc.2023.104182.
Subhan, F,
Ali, Y, Zhao, S (2023)
Unraveling preference heterogeneity in willingness-to-pay for enhanced road safety: A hybrid approach of machine learning and quantile regression,
Accident Analysis and Prevention, 190(2023), 107176, ISSN: 0001-4575. DOI:
10.1016/j.aap.2023.107176.
Ali, Y, Haque, MM, Zheng, Z (2023)
Assessing a Connected Environment’s Safety Impact During Mandatory Lane-Changing: A Block Maxima Approach,
IEEE Transactions on Intelligent Transportation Systems, 24(6), pp.6639-6649, ISSN: 1524-9050. DOI:
10.1109/tits.2022.3147668.
Ali, Y, Washington, S, Haque, MM (2023)
Estimating real-time crash risk at signalized intersections: a Bayesian Generalized Extreme Value approach,
Safety Science, 164, 106181, ISSN: 0925-7535. DOI:
10.1016/j.ssci.2023.106181.
Ali, Y and Haque, MM (2023)
Modelling the response times of mobile phone distracted young drivers: A hybrid approach of decision tree and random parameters duration model,
Analytic Methods in Accident Research, 39(2023), 100279, DOI:
10.1016/j.amar.2023.100279.
Nazir, F,
Ali, Y, Sharma, A, Zheng, Z, Haque, MM (2023)
Car-following crash risk analysis in a connected environment: a Bayesian non-stationary generalised extreme value model,
Analytic Methods in Accident Research, 39, 100278, ISSN: 2213-6657. DOI:
10.1016/j.amar.2023.100278.
Ali, Y, Haque, MM, Mannering, F (2023)
Assessing traffic conflict/crash relationships with extreme value theory: recent developments and future directions for connected and autonomous vehicle and highway safety research,
Analytic Methods in Accident Research, 39, 100276, ISSN: 2213-6657. DOI:
10.1016/j.amar.2023.100276.
Ali, Y and Haque, MM (2023)
Modelling braking behaviour of distracted young drivers in car-following interactions: a grouped random parameters duration model with heterogeneity-in-means,
Accident Analysis and Prevention, 185, 107015, ISSN: 0001-4575. DOI:
10.1016/j.aap.2023.107015.
Lashari, AR,
Ali, Y, Buller, AS, Memon, NA (2023)
Effects of partial replacement of fine aggregates with crumb rubber on skid resistance and mechanical properties of cement concrete pavements,
International Journal of Pavement Engineering, 24(2), ISSN: 1029-8436. DOI:
10.1080/10298436.2022.2077940.
Ali, Y, Haque, MM, Mannering, F (2022)
A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics,
Analytic Methods in Accident Research, 38(2023), 100264, DOI:
10.1016/j.amar.2022.100264.
Ali, Y, Hussain, F, Bliemer, MCJ, Zheng, Z, Haque, MM (2022)
Predicting and explaining lane-changing behaviour using machine learning: A comparative study,
Transportation Research Part C: Emerging Technologies, 145, ISSN: 0968-090X. DOI:
10.1016/j.trc.2022.103931.
Ali, Y, Haque, MM, Zheng, Z, Afghari, AP (2022)
A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environment,
Analytic Methods in Accident Research, 35, ISSN: 2213-6657. DOI:
10.1016/j.amar.2022.100221.
Hussain, F,
Ali, Y, Irfan, M (2022)
Quantifying the Differential Phase Angle Behaviour of Asphalt Concrete Mixtures Using Artificial Neural Networks,
International Journal of Pavement Research and Technology, 15(3), pp.640-658, ISSN: 1996-6814. DOI:
10.1007/s42947-021-00042-0.
Ali, Y, Bliemer, MCJ, Haque, MM, Zheng, Z (2022)
Examining braking behaviour during failed lane-changing attempts in a simulated connected environment with driving aids,
Transportation Research Part C: Emerging Technologies, 136, ISSN: 0968-090X. DOI:
10.1016/j.trc.2021.103531.
Ali, Y, Haque, MM, Zheng, Z (2022)
An Extreme Value Theory approach to estimate crash risk during mandatory lane-changing in a connected environment,
Analytic Methods in Accident Research, 33, ISSN: 2213-6657. DOI:
10.1016/j.amar.2021.100193.
Ali, Y, Zheng, Z, Haque, MM (2021)
Modelling lane-changing execution behaviour in a connected environment: A grouped random parameters with heterogeneity-in-means approach,
Communications in Transportation Research, 1, pp.100009-100009, ISSN: 2772-4247. DOI:
10.1016/j.commtr.2021.100009.
Hussain, F,
Ali, Y, Irfan, M (2021)
Alternative Approach for Predicting the Phase Angle Characteristics of Asphalt Concrete Mixtures Based on Recurrent Neural Networks,
Journal of Materials in Civil Engineering, 33(9), ISSN: 0899-1561. DOI:
10.1061/(asce)mt.1943-5533.0003855.
Ali, Y, Haque, MM, Zheng, Z, Bliemer, MCJ (2021)
Stop or go decisions at the onset of yellow light in a connected environment: A hybrid approach of decision tree and panel mixed logit model,
Analytic Methods in Accident Research, 31, pp.100165-100165, ISSN: 2213-6657. DOI:
10.1016/j.amar.2021.100165.
Subhan, F, Zhao, S, Diop, EB,
Ali, Y, Zhou, H (2021)
Public intention to pay for road safety improvement: A case study of Pakistan,
Accident Analysis and Prevention, 160, ISSN: 0001-4575. DOI:
10.1016/j.aap.2021.106315.
Ali, Y, Hussain, F, Irfan, M, Buller, AS (2021)
An eXtreme Gradient Boosting model for predicting dynamic modulus of asphalt concrete mixtures,
Construction and Building Materials, 295, pp.123642-123642, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2021.123642.
Ali, Y, Zheng, Z, Haque, MM, Yildirimoglu, M, Washington, S (2021)
CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments,
Transportation Research Part C: Emerging Technologies, 128, pp.103162-103162, ISSN: 0968-090X. DOI:
10.1016/j.trc.2021.103162.
Hussain, F,
Ali, Y, Irfan, M, Ashraf, M, Ahmed, S (2020)
A data-driven model for phase angle behaviour of asphalt concrete mixtures based on convolutional neural network,
Construction and Building Materials, 269, pp.121235-121235, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2020.121235.
Ali, Y, Bliemer, MCJ, Zheng, Z, Haque, MM (2020)
Comparing the usefulness of real-time driving aids in a connected environment during mandatory and discretionary lane-changing manoeuvres,
Transportation Research Part C: Emerging Technologies, 121, pp.102871-102871, ISSN: 0968-090X. DOI:
10.1016/j.trc.2020.102871.
Ali, Y, Zheng, Z, Mazharul Haque, M, Yildirimoglu, M, Washington, S (2020)
Detecting, analysing, and modelling failed lane-changing attempts in traditional and connected environments,
Analytic Methods in Accident Research, 28, pp.100138-100138, ISSN: 2213-6657. DOI:
10.1016/j.amar.2020.100138.
Ali, Y, Bliemer, MCJ, Zheng, Z, Haque, MM (2020)
Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment,
Transportation Research Part C: Emerging Technologies, 120, pp.102816-102816, ISSN: 0968-090X. DOI:
10.1016/j.trc.2020.102816.
Ali, Y, Irfan, M, Hussain, E (2020)
The impact of data noise on permanent deformation behaviour of asphalt concrete mixtures,
International Journal of Pavement Engineering, 21(12), pp.1470-1481, ISSN: 1029-8436. DOI:
10.1080/10298436.2018.1549324.
Ali, Y, Sharma, A, Haque, MM, Zheng, Z, Saifuzzaman, M (2020)
The impact of the connected environment on driving behavior and safety: A driving simulator study,
Accident Analysis & Prevention, 144, pp.105643-105643, ISSN: 0001-4575. DOI:
10.1016/j.aap.2020.105643.
Irfan, M, Zahoor, H, Abbas, M,
Ali, Y (2020)
Determinants of labor productivity for building projects in Pakistan,
Journal of Construction Engineering, Management & Innovation, 3(2), pp.85-100, DOI:
10.31462/jcemi.2020.02085100.
Ali, Y, Zheng, Z, Mazharul Haque, M, Yildirimoglu, M, Washington, S (2020)
Understanding the discretionary lane-changing behaviour in the connected environment,
Accident Analysis & Prevention, 137, pp.105463-105463, ISSN: 0001-4575. DOI:
10.1016/j.aap.2020.105463.
Ali, Y, Irfan, M, Buller, AS, Khan, HA, Gul, HMF (2019)
A binary logistic model for predicting the tertiary stage of permanent deformation of conventional asphalt concrete mixtures,
CONSTRUCTION AND BUILDING MATERIALS, 227, ARTN 116608, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2019.07334.
Ali, Y, Irfan, M, Buller, AS, Khan, HA, Gul, HMF (2019)
A binary logistic model for predicting the tertiary stage of permanent deformation of conventional asphalt concrete mixtures,
Construction and Building Materials, 227, pp.116608-116608, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2019.07.334.
Ali, Y, Haque, MM, Zheng, Z, Washington, S, Yildirimoglu, M (2019)
A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing,
Transportation Research Part C: Emerging Technologies, 106, pp.113-131, ISSN: 0968-090X. DOI:
10.1016/j.trc.2019.07.015.
Ali, Y, Zheng, Z, Haque, MM, Wang, M (2019)
A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment,
Transportation Research Part C: Emerging Technologies, 106, pp.220-242, ISSN: 0968-090X. DOI:
10.1016/j.trc.2019.07.011.
Irfan, M,
Ali, Y, Ahmed, S, Iqbal, S, Wang, H (2019)
Rutting and Fatigue Properties of Cellulose Fiber-Added Stone Mastic Asphalt Concrete Mixtures,
Advances in Materials Science and Engineering, 2019, pp.1-8, ISSN: 1687-8434. DOI:
10.1155/2019/5604197.
Bin Tahir, H, Irfan, M, Hussain, A,
Ali, Y, Hussain, E (2018)
Predicting the permanent deformation behaviour of the plant produced asphalt concrete mixtures: A first order regression approach,
Construction and Building Materials, 189, pp.629-639, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2018.08.164.
Irfan, M,
Ali, Y, Iqbal, S, Ahmed, S, Hafeez, I (2018)
Rutting Evaluation of Asphalt Mixtures Using Static, Dynamic, and Repeated Creep Load Tests,
Arabian Journal for Science and Engineering, 43(10), pp.5143-5155, ISSN: 2193-567X. DOI:
10.1007/s13369-017-2982-4.
Gul, MA, Irfan, M, Ahmed, S,
Ali, Y, Khanzada, S (2018)
Modelling and characterising the fatigue behaviour of asphaltic concrete mixtures,
Construction and Building Materials, 184, pp.723-732, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2018.07.022.
Junaid, M, Irfan, M, Ahmed, S,
Ali, Y (2018)
Effect of binder grade on performance parameters of asphaltic concrete paving mixtures,
International Journal of Pavement Research and Technology, 11(5), pp.435-444, ISSN: 1996-6814. DOI:
10.1016/j.ijprt.2017.11.006.
Irfan, M, Khurshid, AN, Khurshid, MB,
Ali, Y, Khattak, A (2018)
Policy Implications of Work-Trip Mode Choice Using Econometric Modeling,
Journal of Transportation Engineering, Part A: Systems, 144(8), ISSN: 2473-2907. DOI:
10.1061/jtepbs.0000158.
Ali, Y, Zheng, Z, Haque, MM (2018)
Connectivity’s impact on mandatory lane-changing behaviour: Evidences from a driving simulator study,
Transportation Research Part C: Emerging Technologies, 93, pp.292-309, ISSN: 0968-090X. DOI:
10.1016/j.trc.2018.06.008.
Ali, Y, Irfan, M, Zeeshan, M, Hafeez, I, Ahmed, S (2018)
Revisiting the relationship of dynamic and resilient modulus test for asphaltic concrete mixtures,
Construction and Building Materials, 170, pp.698-707, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2018.03.098.
Irfan, M,
Ali, Y, Ahmed, S, Hafeez, I (2018)
Performance Evaluation of Crumb Rubber-Modified Asphalt Mixtures Based on Laboratory and Field Investigations,
Arabian Journal for Science and Engineering, 43(4), pp.1795-1806, ISSN: 2193-567X. DOI:
10.1007/s13369-017-2729-2.
Irfan, M, Saeed, M, Ahmed, S,
Ali, Y (2017)
Performance Evaluation of Elvaloy as a Fuel-Resistant Polymer in Asphaltic Concrete Airfield Pavements,
Journal of Materials in Civil Engineering, 29(10), ISSN: 0899-1561. DOI:
10.1061/(asce)mt.1943-5533.0002018.
Ali, Y, Irfan, M, Ahmed, S, Ahmed, S (2017)
Permanent deformation prediction of asphalt concrete mixtures – A synthesis to explore a rational approach,
Construction and Building Materials, 153, pp.588-597, ISSN: 0950-0618. DOI:
10.1016/j.conbuildmat.2017.07.105.
Ali, Y, Irfan, M, Ahmed, S, Ahmed, S (2017)
Empirical Correlation of Permanent Deformation Tests for Evaluating the Rutting Response of Conventional Asphaltic Concrete Mixtures,
Journal of Materials in Civil Engineering, 29(8), ISSN: 0899-1561. DOI:
10.1061/(asce)mt.1943-5533.0001888.
Ali, Y and Khan, HA (2017) Performance evaluation of resin as a coating agent,
Jordan Journal of Civil Engineering, 11(4), pp.594-606, ISSN: 1993-0461.
Ali, Y, Irfan, M, Ahmed, S, Khanzada, S, Mahmood, T (2016)
Investigation of factors affecting dynamic modulus and phase angle of various asphalt concrete mixtures,
Materials and Structures, 49(3), pp.857-868, ISSN: 1359-5997. DOI:
10.1617/s11527-015-0544-3.
Irfan, M, Waraich, AS, Ahmed, S,
Ali, Y (2016)
Characterization of Various Plant-Produced Asphalt Concrete Mixtures Using Dynamic Modulus Test,
Advances in Materials Science and Engineering, 2016, pp.1-12, ISSN: 1687-8434. DOI:
10.1155/2016/5618427.
Ali, Y, Irfan, M, Ahmed, S, Khanzada, S, Mahmood, T (2015)
Sensitivity analysis of dynamic response and fatigue behaviour of various asphalt concrete mixtures,
Fatigue & Fracture of Engineering Materials & Structures, 38(10), pp.1181-1193, ISSN: 8756-758X. DOI:
10.1111/ffe.12297.
