Traffic flow modelling and dynamics are at the forefront of efforts to understand and optimise urban transport systems. The field integrates theoretical and computational approaches to depict and ...

Generally, models for traffic flow in road networks are time-dependent and continuous, that is, they describe traffic by a continuum rather than as individual drivers or cars.

We address the controversial issue of traffic flow modeling, whether first-order, second-order, or other traffic models are best supported by empirical facts and theoretical considerations. This is ...

An ensemble-based optimisation approach is used to estimate both calibration and validation errors arising from uncertainty in the structure and parameterisation of the cell transmission model, a ...

The obvious solution is to run both flow-based and individualized models for all scenarios. But simulating every possible permutation of traffic flow isn’t feasible.

NEC Corporation announced the development of an optical fibre sensing technology to monitor road conditions and accurately ...

4, Ammar Jafaripournimchahi ,1 Yingfeng Cai ,1 Hai Wang ,2 Lu Sun ,3 and Jiancheng Weng. "Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling." Journal ...

By enabling communication between mini models of autonomous vehicles, Cambridge researchers improved traffic flow by 35 percent.

NEC has developed an optical fibre sensing technology to monitor road conditions and accurately predict sudden traffic congestion in real time.

Ph.D. Program in Personalized Healthcare Technology (PHT180) Research Center of Excellence 4, Ammar Jafaripournimchahi ,1 Yingfeng Cai ,1 Hai Wang ,2 Lu Sun ,3 and Jiancheng Weng. "Integrated-Hybrid ...

By identifying and applying the key rules governing the behaviour of each individual, agent-based modelling offers insights into complex phenomena like traffic jams and flocking.