Journals (refereed)

1. Dias, C., Abdullah, M., Lovreglio, R., Sachchithanantham, S., Rekatheeban, M., & Sathyaprasad, I. M. S. (2022). Exploring home-to-school trip mode choices in Kandy, Sri Lanka. Journal of Transport Geography, 99, 103279. https://doi.org/10.1016/j.jtrangeo.2022.103279
2. Hannun, J., Dias, C., Taha, A.H., Almutairi, A., Alhajyaseen W., Sarvi M., Al-Bosta, S. (2022). Pedestrian flow characteristics through different angled bends: Exploring the spatial variation of velocity. PLoS ONE 17(3): e0264635. https://doi.org/10.1371/journal.pone.0264635
3. Abd Rahman, N., Johari, M. S. M., & Dias, C. (2022). Exploratory Study on Self-Awareness and Self-Preparedness of Malaysian Rail Passengers for Emergency Evacuations. Transportation Engineering, 100105. https://doi.org/10.1016/j.treng.2022.100105
4. Mohamed, M. A. I., Abd Rahman, N., & Dias, C. (2021). Self-reported Likely Behaviour of Rail Passengers during an Emergency Evacuation-A Case Study of Kuala Lumpur, Malaysia, IATSS Research. https://doi.org/10.1016/j.iatssr.2021.06.004
5. Dias, C., Abd Rahman, N., & Zaiter, A. (2021). Evacuation under flooded conditions: Experimental investigation of the influence of water depth on walking behaviors. International Journal of Disaster Risk Reduction, 58, 102192. https://doi.org/10.1016/j.ijdrr.2021.102192
6. Dias, C., Abd Rahman, N., Abdullah, M., & Sukor, N. S. A. (2021). Influence of COVID-19 Mobility-Restricting Policies on Individual Travel Behavior in Malaysia. Sustainability, 13(24), 13960. https://doi.org/10.3390/su132413960
7. Javid, M. A., Abdullah, M., Ali, N., & Dias, C. (2021). Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model. Transportation Research Interdisciplinary Perspectives, 12, 100474. https://doi.org/10.1016/j.trip.2021.100474
8. Zhu, H., Iryo-Asano, M., Alhajyaseen, W. K., Nakamura, H., & Dias, C. (2021). Interactions between autonomous vehicles and pedestrians at unsignalized mid-block crosswalks considering occlusions by opposing vehicles. Accident Analysis & Prevention, 163, 106468. https://doi.org/10.1016/j.aap.2021.106468
9. Abdullah, M, Dias, C., & Oguchi, T. (2021). Road Crossing at Unmarked Mid-Block Locations: Exploring Pedestrians’ Perception and Behavior. Iranian Journal of Science and Technology, Transactions of Civil Engineering. https://doi.org/10.1007/s40996-021-00701-z
10. Rahouti, A., Lovreglio, R., Dias, C., Kuligowski, E., Gai, G., & La Mendola, S. (2021). Investigating office buildings evacuations using unannounced fire drills: the case study of CERN, Switzerland. Fire Safety Journal, 103403. https://doi.org/10.1016/j.firesaf.2021.103403
11. Abdullah, M., Oguchi, T., & Dias, C., (2021). Relocation of Intersection Crosswalks to Nearby Mid-block Locations: Simulation-based Performance Evaluation, Jordan Journal of Civil Engineering, Vol. 15(3), pp. 393-406.
12. Almallah, M., Hussain, Q., Alhajyaseen, W. K., Pirdavani, A., Brijs, K., Dias, C., & Brijs, T. (2021). Improved traffic safety at work zones through animation-based variable message signs. Accident Analysis & Prevention, 159, 106284. https://doi.org/10.1016/j.aap.2021.106284
13. Abdullah, M., Ali, N., Javid, M. A., Dias, C., & Campisi, T. (2021). Public Transport versus Solo Travel Mode Choices during the COVID-19 Pandemic: Self-reported Evidence from a Developing Country. Transportation Engineering, 100078. https://doi.org/10.1016/j.treng.2021.100078
14. Abdullah, M., Ali, N., Dias, C., Campisi, T., & Javid, M. A. (2021). Exploring the Traveler’s Intentions to Use Public Transport during the COVID-19 Pandemic While Complying with Precautionary Measures. Applied Sciences, 11(8), 3630. https://doi.org/10.3390/app11083630
15. Abdullah, M., Dias, C., Muley, D., & Shahin, M. (2020). Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transportation Research Interdisciplinary Perspectives, 8, 100255. https://doi.org/10.1016/j.trip.2020.100255
16. Dias, C., Iryo-Asano, M., Abdullah, M., Oguchi, T. and Alhajyaseen, W., (2020). Modeling Trajectories and Trajectory Variation of Turning Vehicles at Signalized Intersections. IEEE Access, Vol. 8, PP. 109821 – 109834. https://doi.org/10.1109/ACCESS.2020.3002020
17. Abuhijleh, A., C. Dias, W. Alhajyaseen, D. Muley, (2020). Effect of U-Turns and Heavy Vehicles on Saturation Flow Rates of Left-Turn Lanes, Sustainability 2020, 12(11), 4485; https://doi.org/10.3390/su12114485
18. Dias, C., Abdullah, M., Sarvi, M., Lovreglio, R. and Alhajyaseen, W., (2019). Modeling and Simulation of Pedestrian Movement Planning Around Corners. Sustainability, 11(19), p.5501. https://doi.org/10.3390/su11195501
19. Suzuki, K., Alhajyaseen, W. K. M, Imada, K., and Dias, C. (2019). Motorcyclists’ Safety on Expressways: Subjective and Objective Evaluations. Arabian Journal for Science and Engineering, Vol. 44 (10), pp 8859–8873. https://doi.org/10.1007/s13369-019-03895-7
20. Dias, C., Iryo-Asano, M., Nishiuchi, H., Todoroki, T. (2018). Calibrating a Social Force based Model for Simulating Personal Mobility Vehicles and Pedestrian Mixed Traffic, Simulation Modelling Practice and Theory, Vol. 87, pp. 395-411. https://doi.org/10.1016/j.simpat.2018.08.002
21. Dias, C., and Lovreglio, R. (2018). Calibrating Cellular Automaton Models for Pedestrians Walking Through Corners, Physics Letters A, Vol. 382 (19), pp. 1255-1261. https://doi.org/10.1016/j.physleta.2018.03.022
22. Dias, C., Oguchi, T., and Wimalasena, K. (2018). Drivers’ Speeding Behavior on Expressway Curves: Exploring the Effect of Curve Radius and Desired Speed, Transportation Research Record: Journal of the Transportation Research Board, p.0361198118778931. https://doi.org/10.1177/0361198118778931
23. Hasegawa, Y., Dias, C., Iryo-Asano, M., Nishiuchi, H. (2018). Modeling Pedestrians’ Subjective Danger Perception toward Personal Mobility Vehicles, Transportation Research – Part F, Vol. 56, pp. 256-267. https://doi.org/10.1016/j.trf.2018.04.016
24. Lovreglio, R., Dias, C., Song, X., Ballerini, L. (2018). Investigating Pedestrian Navigation in Indoor Open Space Environments Using Big Data, Applied Mathematical Modelling, Vol. 62, pp. 499-509. https://doi.org/10.1016/j.apm.2018.06.014
25. Dias, C., Iryo, M. and Nishiuchi, H., 2017. Evaluation of Safe Avoidance Distance for Pedestrians in Personal Mobility Vehicles and Pedestrian Mixed Traffic: A Simulation Based Study. Journal of the Eastern Asia Society for Transportation Studies, Vol. 12, pp.1994-2005. https://doi.org/10.11175/easts.12.1994
26. Dias, C., Sarvi, M., Ejtemai, O., Burd, M. (2015). Effects of elevated desired speed and change in desired direction on collective pedestrian flow characteristics, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2490, pp. 65-75. https://doi.org/10.3141/2490-08
27. Dias, C., Sarvi, M., Ejtemai, O., Shiwakoti, N. (2014). Pedestrian walking characteristics through angled corridors: An experimental study, Transportation Research Record: Journal of the Transportation Research Board. Vol. 2421, pp. 41-50. https://doi.org/10.3141/2421-05
28. Dias, C., Sarvi, M., Shiwakoti N., Ejtemai O., Burd, M. (2013). Examining the impact of different turning angles on collective egress of crowds. Journal of Transportation Safety & Security, Vol. 6(2), pp. 167-181, http://dx.doi.org/10.1080/19439962.2013.831964
29. Dias, C., Sarvi, M., Shiwakoti N., Ejtemai O., Burd, M. (2013). Investigating collective escape behaviours in complex situations. Safety science, Vol. 60 (December 2013), pp. 87-94. http://dx.doi.org/10.1016/j.ssci.2013.07.005
30. Dias, C., Sarvi, M., Shiwakoti, N. and Burd, M. (2012), Turning angle Effect on Emergency Egress: Experimental Evidences and Pedestrian Crowd Simulation, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2312, pp. 120-127. https://doi.org/10.3141/2312-12
31. Dias, C., Miska, M., and Kuwahara, M. (2008), Travel time estimation on arterial roads using probe data and Bayesian network learning, International Journal of Intelligent Transport Systems Research, Vol. 6, No. 2, pp. 105-109.

Book Chapters (refereed)

1. Dias, C., Kharbeche, M., Muley, D., Kashem, A., Fahed, M. A., Iral, S. V., & Abdelfattah, N. (2022). Are Professional Drivers more Aggressive than General Drivers? A Case Study from Doha, Qatar. Procedia Computer Science, 201, 16-23. https://doi.org/10.1016/j.procs.2022.03.005
2. Muley, D., Dias, C., Umlai, A. H., AlArdah, H., Shah, M., Murtaza, M., & Abou-sido, F. (2022). Assessment of turn signal use at two-lane roundabouts in Doha city. Procedia Computer Science, 201, 79-86. https://doi.org/10.1016/j.procs.2022.03.013
3. Shahin, M., Abdullah, M., Muley, D., & Dias, C. (2022). Case studies on COVID-19 and environment. In COVID-19 in the Environment (pp. 231-248). Elsevier. https://doi.org/10.1016/B978-0-323-90272-4.00006-3
4. Zhang, J., Dias, C., Sarvi, M., & Asano, M. I. (2020). Pedestrian flow characteristics through bends: Effects of angle and desired speed. Collective Dynamics, 5, 522-524. http://dx.doi.org/10.17815/CD.2020.89
5. Almallah, M., Alfahel, R., Hussain, Q., Alhajyaseen, W. K., & Dias, C. (2020). Empirical evaluation of drivers’ start-up behavior at signalized intersection using driving simulator. Procedia Computer Science, 170, 227-234. https://doi.org/10.1016/j.procs.2020.03.034
6. Hussain, Q., Almallah, M., Alhajyaseen, W. K., & Dias, C. (2020). Impact of the geometric field of view on drivers’ speed perception and lateral position in driving simulators. Procedia Computer Science, 170, 18-25. https://doi.org/10.1016/j.procs.2020.03.005
7. Lovreglio R., Dias C., Song X., Ballerini L. (2019) Towards Microscopic Calibration of Pedestrian Simulation Models Using Open Trajectory Datasets: The Case Study of the Edinburgh Informatics Forum. In: Hamdar S. (eds) Traffic and Granular Flow ’17. TGF 2017. Springer, Cham, https://doi.org/10.1007/978-3-030-11440-4_25
8. Zhang J., Iryo-Asano M., Dias C. (2019) Experimental Investigation of Pedestrian Queuing Behaviour. In: Hamdar S. (eds) Traffic and Granular Flow ’17. TGF 2017. Springer, Cham, https://doi.org/10.1007/978-3-030-11440-4_21
9. Rahouti A., Lovreglio R., Dias C., Datoussaïd S. (2019) Simulating Assisted Evacuation Using Unity3D. In: Hamdar S. (eds) Traffic and Granular Flow ’17. TGF 2017. Springer, Cham, https://doi.org/10.1007/978-3-030-11440-4_30
10. Dias, C., Nishiuchi, H., Hyoudo, S., Todoroki, T. (2018). Simulating Interactions between Pedestrians, Segway Riders and Cyclists in Shared Spaces Using Social Force Model, Transportation Research Procedia, Elsevier, (Eds. Yoshii, Y., Shiomi, Y., Kusakabe, T., & Wada, K.), Elsevier. Vol. 34, pp. 91-98, https://doi.org/10.1016/j.trpro.2018.11.018
11. Iryo-Asano, M., Hasegawa, Y., Dias, C. (2018). Applicability of Virtual Reality Systems for Evaluating Pedestrians’ Perception and Behavior, Transportation Research Procedia, Elsevier, (Eds. Yoshii, Y., Shiomi, Y., Kusakabe, T., & Wada, K.), Elsevier. Vol. 34, pp. 67-74, https://doi.org/10.1016/j.trpro.2018.11.015
12. Dias, C., Iryo-Asano, M., Oguchi, T. (2017). Predicting Optimal Trajectory of Left-Turning Vehicle at Signalized Intersection. Transportation Research Procedia, (Eds., Seungjae Lee and Jooyoung Kim), Elsevier, Vol. 21, pp. 240-250. https://doi.org/10.1016/j.trpro.2017.03.093
13. Dias, C., Ejtemai, O., Sarvi, M., Burd, M. (2014). Exploring pedestrian walking through angled corridors under normal conditions, Transportation Research Procedia, (Eds. Duives, D., Daamen, W. & Hoogendoorn, H.), Elsevier. Vol. 2, pp. 19-25, http://dx.doi.org/10.1016/j.trpro.2014.09.004
14. Shiwakoti, N. Sarvi, M., Dias, C., Burd, M. (2013) Understanding crowd panic at turning and intersection through model organisms, Pedestrian and Evacuation Dynamics 2012 (Eds. Weidmann, U., Kirsch, U. & Schreckenberg, M.), Springer, Vol. XXIV, pp. 1175-1186, http://dx.doi.org/10.1007/978-3-319-02447-9_96

Conference proceedings (refereed)

1. Abdelaal, A., Dias, C., Sarvi, M., Alhajyaseen, W., Tarlochan, F. (2020). Crowd Dynamics, Management and Control at Tourist Attractions during Special Events: A Case Study at Souq Waqif using Pedestride® Crowd Simulation Tool, CIC 2020: International Conference on Civil Infrastructure and Construction, Qatar University, Doha, Qatar, February 2-5, 2020. http://dx.doi.org/10.29117/cic.2020.0045
2. Dias, C., M. Iryo-Asano, M. Abdullah and T. Oguchi. A Method for Estimating Trajectories of Turning Vehicles at Signalized Intersections, 2019, In 98th Transportation Research Board (TRB) Annual Meeting, Washington D.C.,
3. Abdullah, M., Oguchi, T., and Dias, C. Self-Reported Pedestrian Mid-Block Crossing Behavior: Effect of Gender, Age and Region, 2019, In 98th Transportation Research Board (TRB) Annual Meeting, Washington D.C.,
4. Dias, C., M. Iryo-Asano, K. Shimono and K. Nakano. Calibration of a Social Force Based Shared Space Model for Personal Mobility Vehicle and Pedestrian Mixed Traffic, In 96th Transportation Research Board (TRB) Annual Meeting, Washington D.C. 2017.01.8-12
5. Dias, C., M. Iryo-Asano and T. Oguchi: Predicting optimal trajectories for left turning vehicles at signalized intersections. International Symposium of Transport Simulation and International Workshop on Traffic Data Collection and its Standardizations (ISTS & IWTDCS2016), Jeju, Korea, 2016.07
6. Dias, C. and M. Sarvi. Exploring the effect of turning maneuvers on macroscopic properties of pedestrian flow, 38th Australasian Transport Research Forum (ATRF), Melbourne, Australia, 2016.11
7. Gorrini, A., Bandini, S., Sarvi, M., Dias, C., Shiwakoti, N. (2013). An Empirical Study on Crowd and Pedestrian Dynamics: the Impact of Different Angle Paths and Grouping, In 92nd Transportation Research Board (TRB) Annual Meeting, Washington D.C.
8. Dias, C., Sarvi, M., Shiwakoti N., Ejtemai, O. (2013). Experimental study on pedestrian walking characteristics through angled corridors, 36th Australasian Transport Research Forum (ATRF), Brisbane, Australia.
9. Dias, C., Sarvi, M., Shiwakoti, N. (2012). Intersecting and Merging Pedestrian Crowd Flows under Panic Conditions: Insights from biological entities, 35th Australasian Transport Research Forum (ATRF), Perth, Australia.

Conference proceedings (non-reviewed)
1. Hasegawa, Y., Iryo-Asano, M., Dias, C. (2017). Proposal of Subjective Danger Perception Model of Pedestrians towards Personal Mobility Vehicles, Proc. of Infrastructure Planning (JSCE), No.56, Iwate, Japan, 2017.11 (In Japanese)
2. Dias, C., Iryo-Asano, M. (2017). Evaluating Collision Risk on Personal Mobility Vehicle Involved Shared Spaces. Proc. of Infrastructure Planning (JSCE), No.56, Iwate, Japan, 2017.11
3. Dias, C., Oguchi, T., Wimalasena, K. (2017). Modeling Free-Flow Speed Profiles on Expressway Curve Sections based on Minimum Jerk Concept, In 15th Intelligent Transportation Systems (ITS) Symposium, Kyushu, Japan, 2017.
4. Zhang, J., Iryo-Asano, M., Dias, C. (2017). Experimental Investigation of Pedestrian Queue Formations before Different Types of Bottlenecks, Conference of the Japan Society of Transportation Engineers, No. 37, Pp. 39-46, Tokyo, Japan.
5. Dias, C., M. Iryo-Asano, K. Shimono and K. Nakano. Experimental Analysis of Segway Rider Behavior under Mixed Traffic Conditions, In 14th Intelligent Transportation Systems (ITS) Symposium, Japan.
6. Dias, C., M. Sarvi and M. Iryo-Asano. (2016). Predicting Optimal Trajectories for Constrained Pedestrian Turning Maneuvers. Proceedings of the 8th International Conference on Pedestrian and Evacuation Dynamics (PED2016), Hefei, China, 2016.10
7. Dias, C., M. Iryo-Asano and T. Oguchi. (2016). Concurrent prediction of location, velocity and acceleration profiles for left turning vehicles at signalized intersections. Proc. of Infrastructure Planning (JSCE), No.53, Sapporo, Japan, 2016.05
8. Wimalasena, K., Dias, C., T. Oguchi, K. Wada, and M. Iryo-Asano. (2016). Effect of Road Geometry on Free-Flow Speed: An Empirical Analysis using ETC 2.0 Data. Proc. of Infrastructure Planning (JSCE), No.53, Sapporo, Japan, 2016.05
9. Dias, C., M. Miska, M. Kuwahara and H. Warita. (2009). Relationship between congestion and traffic accidents on expressways: an investigation with Bayesian belief networks. Proc. of Infrastructure Planning (JSCE), No.40, Kanazawa, Japan.