Dr?Bani?Anvari BSc, MSc, PhD

Visiting Academic

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Dr Bani Anvari is a Visiting Academic?in the Transportation Research Group (TRG) within the Faculty of Engineering and the Environment at the University of 天发娱乐棋牌_天发娱乐APP-官网|下载.

The research interests of my group include urban planning, traffic and infrastructure modelling, shared space modelling, mixed traffic modelling, crowd dynamics, evacuation modelling, transportation and infrastructure planning, operation and maintenance, autonomous vehicles (AVs), and vehicle-to-vehicle (V2V) / vehicle-to-infrastructure (V2I) communications in order to create intelligent transportation systems (ITSs).

Research

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Research interests

天发娱乐棋牌_天发娱乐APP-官网|下载 research aim is to

investigate the efficiency and scalability of existing traffic models for the integration of connected and autonomous vehicles.
model connected vehicles and semi-/fully- automated vehicles in a simulation platform.
develop mobility models for the ever-growing shared urban spaces with pedestrians, smart autonomous delivery robots and autonomous vehicles.
maintain the mobility and transport networks during systemic failures and support urban designers to continuously evolve street layouts.
developing optimisation strategies for multi-objective holistic systems.

For more information visit Bani Avari research

PhD supervision for Craig Rafter

Title: Integrating Automated Vehicles into the Transport Network

Supervisors: Dr Bani Anvari and Dr Ben Waterson

Funding Agencies: EPSRC Centre for Doctoral Training in Next Generation Computational Modelling &Transportation Research Laboratory (TRL)

For more information visit Integrating Automated Vehicles into the Transport Network

Research project

Green Adaptive Control for Future Interconnected Vehicles

Research group

Transportation Group

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Articles

Wu, Z. , Waterson, B. , & Anvari, B. (2022). Developing and evaluating a coordinated person-based signal control paradigm in a corridor network . Transportation Planning and Technology , 45 (6), 498-523. https://doi.org/10.1080/03081060.2022.2134128
Rafter, C. B. , Anvari, B. , Box, S. , & Cherrett, T. (2020). Augmenting traffic signal control systems for urban road networks with connected vehicles . IEEE Transactions on Intelligent Transportation Systems , 21 (4), 1728-1740. [8995570]. https://doi.org/10.1109/TITS.2020.2971540
Hutchinson, L. , Waterson, B. , Anvari, B. , & Naberezhnykh, D. (2019). Potential of wireless power transfer for dynamic charging of electric vehicles . IET Intelligent Transport Systems , 13 (1), 3-12. https://doi.org/10.1049/iet-its.2018.5221
Anvari, B. , Angeloudis, P., & Ochieng, W. Y. (2016). A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction . Automation in Construction , 71 , 226-241. https://doi.org/10.1016/j.autcon.2016.08.007
Anvari, B. , Bell, M. G. H., Angeloudis, P., & Ochieng, W. Y. (2016). Calibration and validation of a shared space model: case study . Transportation Research Record , 2588 , 43-52. https://doi.org/10.3141/2588-05
Anvari, B. , Bell, M. G. H., Sivakumar, A., & Ochieng, W. Y. (2015). Modelling shared space users via rule-based social force model . Transportation Research Part C: Emerging Technologies , 51 , 83-103. https://doi.org/10.1016/j.trc.2014.10.012
Anvari, B. , Bell, M. G. H., Angeloudis, P., & Ochieng, W. Y. (2014). Long-range collision avoidance for shared space simulation based on social forces . Transportation Research Procedia , 2 , 318-326. https://doi.org/10.1016/j.trpro.2014.09.023

Conferences

Thesis

Anvari, B. (2013). A new microscopic model for the simulation of shared space schemes .

I contribute to teaching on?CENV6109 Transportation Engineering: Transport Management.

Dr Bani Anvari
Engineering, University of 天发娱乐棋牌_天发娱乐APP-官网|下载, 天发娱乐棋牌_天发娱乐APP-官网|下载 Boldrewood Innovation Campus, Burgess Road, 天发娱乐棋牌_天发娱乐APP-官网|下载, SO16 7QF

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