Journal Articles
Morton, C and
Ali, Y (2024)
The impact of congestion charging on car ownership: evidence from a quasi-natural experiment,
Transport Policy, 160, pp.181-191, ISSN: 0967-070X. DOI:
10.1016/j.tranpol.2024.10.039.
Nazir, F,
Ali, Y, Haque, MM (2024)
Effects of sample size on pedestrian crash risk estimation from traffic conflicts using extreme value models,
Analytic Methods in Accident Research, 44, pp.100353-100353, ISSN: 2213-6657. DOI:
10.1016/j.amar.2024.100353.
Memeh, E,
Ali, Y, Rubio, FJ, Hancock, C, Haque, MM (2024)
Gap acceptance behaviour and crash risks of mobile phone distracted young drivers at roundabouts: A random parameters survival model,
Accident Analysis and Prevention, 206, pp.107720-107720, ISSN: 0001-4575. DOI:
10.1016/j.aap.2024.107720.
Ali, Y, Raadsen, MPH, Bliemer, MCJ (2024)
Effects of passing rates on driving behaviour in variable speed limit-controlled highways: Evidence of external pressure from a driving simulator study,
Transportation Research Part F: Traffic Psychology and Behaviour, 104, pp.488-505, ISSN: 1369-8478. DOI:
10.1016/j.trf.2024.06.022.
Ankunda, A,
Ali, Y, Mohanty, M (2024)
Pedestrian crash risk analysis using extreme value models: New insights and evidence,
Accident Analysis & Prevention, 203(2024), 107633, ISSN: 0001-4575. DOI:
10.1016/j.aap.2024.107633.
Ali, Y, Sharma, A, Zheng, Z, Haque, MM (2024)
Empirical evidence of connected environment driving on fuel consumption and emissions,
IEEE Transactions on Intelligent Vehicles, ISSN: 2379-8858. DOI:
10.1109/tiv.2024.3395500.
Ali, Y, Sharma, A, Chen, D (2024)
Investigating autonomous vehicle discretionary lane-changing execution behaviour: Similarities, differences, and insights from Waymo dataset,
Analytic Methods in Accident Research, 42(2024), 100332, DOI:
10.1016/j.amar.2024.100332.
Hussain, F,
Ali, Y, Li, Y, Haque, MM (2024)
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 and Prevention, 199, pp.107517-107517, ISSN: 0001-4575. DOI:
10.1016/j.aap.2024.107517.
Hussain, F,
Ali, Y, Li, Y, Haque, MM (2024)
A bi-level framework for real-time crash risk forecasting using artificial intelligence-based video analytics,
Scientific Reports, 14, DOI:
10.1038/s41598-024-54391-4.
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.
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, 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, 100221, ISSN: 2213-6657. DOI:
10.1016/j.amar.2022.100221.
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, 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.
Ali, Y, Haque, MM, Zheng, Z (2021)
An Extreme Value Theory approach to estimate crash risk during mandatory lane-changing in a connected environment,
Analytic methods in accident research, 33, 100193, ISSN: 2213-6657. DOI:
10.1016/j.amar.2021.100193.
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.
