Publications

Journal papers

Conference presentations

  • Dong, Y. Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. Poster presentation at the TRB 2024, Preprint.
  • Wang, Y., Farah, H., Yu, R., Qiu, S., Arem, B. Characterizing Behavioral Differences of Autonomous Vehicles and Human-Driven Vehicles at Signalized Intersections Based on Waymo Open Dataset. Poster presentation at the 102nd Transportation Research Board annual meeting, TRB 2023, Washington DC, The USA.
  • Raju, N. Influence of Behavioural Models Formulations in Traffic Microsimulation on Surrogate Safety Measures Outcomes. Poster presentation at the 102nd Transportation Research Board annual meeting, TRB 2023, Washington DC, The USA.
  • Dong, Y. Social-aware Planning and Control for Automated Vehicles based on Driving Risk Field and Model Predictive Contouring Control: Driving through Roundabouts as a Case Study. Oral presentation at the 27th International Conference of Hong Kong Society for Transportation Studies, 11-12 December 2023,Hong Kong, China.
  • Dong, Y. Resource Repository: Datasets, Simulation Platforms, and Relevant Publications on Emerging Mixed Traffic of Automated Vehicles and Human-driven Vehicles. Oral presentation at the 2023 WiE-ITS & YP-ITS Fellowship Program, 20-22 November 2023, Cairo, Egypt.
  • Dong, Y. Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behaviour Detection. Poster presentation at the 35th annual meeting of International Co-operation on Theories and Concepts in Traffic Safety (ICTCT), 26-27 October 2023, Catania, Italy. 
  • Dong, Y. Safe, Efficient, and Socially Compliant Autonomous Driving. Research visit at UC Berkeley, Department of Mechanical Engineering, Research group of Prof. Masayoshi Tomizuka, May - October 2023, Berkeley, California, the USA.
  • Dong, Y. Development of Socially Compliant Driving Behaviour for Automated Vehicles to Enhance Safety and Efficiency in Mixed Traffic. Workshop organization and hosting at the 2023 IEEE Intelligent Vehicles, IV 2023, Alaska, the USA.
  • Dong, Y. Social-aware Planning and Control for Automated Vehicles based on Driving Risk Field and Model Predictive Contouring Control: Driving through Roundabouts as a Case Study. Oral presentation at the 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023), Hawaii, the USA.
  • Dong, Y. Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study. Poster presentation at the TRB-ARTS 2023, San Francisco, USA. Demo video.
  • Reddy, N. Incorporating Behavioral Adaptation of Human Drivers in Predicting Traffic Efficiency of Mixed Traffic: A Case Study of Priority T-Intersections. Oral presentation at the 35th International Co-operation on Theories and Concepts in Traffic Safety (ICTCT), 26-27 October 2023, Catania, Italy.
  • Dong, Y. Sequential Neural Network Model with Spatial-Temporal Attention Mechanism for Robust Lane Detection Using Multi Continuous Image Frames. Poster presentation at the 102nd Transportation Research Board annual meeting, TRB 2023, Washington DC, The USA.
  • Dong, Y. Robust Lane Detection Through Self Pre-Training with Masked Sequential Autoencoders and Fine-Tuning With Customized Polyloss. Poster presentation at the 102nd Transportation Research Board annual meeting, TRB 2023, Washington DC, The USA.
  • Dong, Y. Comparative Study on Supervised Versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. Presented at the 25th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2914-2919. (Online presentation).
  • Reddy, N. Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems. Presented at the 6th International Symposium for Highway Geometric Design (ISHGD2022), 26-29 June 2022, Amsterdam, The Netherlands. 
  • Dong, Y. Comparative Study on Supervised Versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. Presented at the 25th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2914-2919. (Online presentation).
  • Reddy, N. Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems. Presented at the 6th International Symposium for Highway Geometric Design (ISHGD2022), 26-29 June 2022, Amsterdam, The Netherlands. 
  • Dong, Y. Participating in the workshop on: “From Benchmarking Behavior Prediction to Socially Compatible Behavior Generation in Autonomous Driving”. 33rd IEEE Intelligent Vehicles Symposium, June 2022.  https://kit-mrt.github.io/iv2021-workshop/ 
  • Raju, N. Car-Following Properties of a Commercial Adaptive Cruise Control System- A Pilot Field Test. Presented at the Transportation Research Board (TRB) conference, January 9-13, 2022. Vehicle-Highway Automation 2022, Part 3, poster session 1336.
  • Raju, N. Influence of Behavioral Model Formulations on The Surrogate Safety Outcomes in Traffic Microsimulation. Presented at the 6th International Symposium for Highway Geometric Design (ISHGD2022), 26-29 June 2022, Amsterdam, The Netherlands. 
  • Reddy, N. Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems. Presented at the 6th International Symposium for Highway Geometric Design (ISHGD2022), 26-29 June 2022, Amsterdam, The Netherlands. 
  • Raju, N. Impact of Car-following and Controller Formulations on Motion Planning of Autonomous Vehicles. Presented at the 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022 (MFTS2022) Dresden, Germany.
  • Dong, Y. A Hybrid Spatial-Temporal Deep Learning Architecture for Lane Detection. Presented at the Transportation Research Board (TRB) conference, January 9-13, 2022. Research on Artificial Intelligence and Advancing Computing Applications, poster session 1415. 
  • Dong, Y. Deep Learning for Automated Vehicles' Operational Design Domain Problems, Challenges, and Case Studies. Presentation at Challenges of Automated Vehicles and Traffic (Conference session) at Széchenyi István University, May 2021.
  • Reddy, N., How will we drive in the future? Modelling human driving behaviour in mixed (human driven and automated) vehicle traffic. Presentation at Challenges of Automated Vehicles and Traffic (Conference session) at Széchenyi István University, May 2021.
  • Farah, H., Bhusari, S., van Gent, P., Mullakkal Babu, F., Morsink, P., Happee, R., van Arem, B. An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures. Presented at the 99th Transportation Research Board Annual Meeting, January 12-16, 2020, Washington DC, USA.
  • Reddy, N., Farah, H., Dekker, T., Huang, Y., van Arem, B. Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems. Presented at the 99th Transportation Research Board Annual Meeting, January 12-16, 2020, Washington DC, USA. 
  • Yang, D., Farah, H., Schoenmakers, M. J., & Alkim , T. (2019). Human drivers behavioural adaptation when driving next to a platoon of automated vehicles on a dedicated lane and implications on ttraffic flow: a driving simulator and microscopic simulation study in the Netherlands. In Proceedings 98th Annual Meeting of the Transportation Research Board, Washington DC, USA [19-00582

Master Thesis