Institute for Future Transport and Cities

The development of new technologies will make a significant impact on future vehicle design. This impact will take two forms; on the design process due to innovative tool development and on the attributes of the resultant vehicle design. This PhD will focus on researching and developing new techniques that will transform automotive design techniques and processes. The interdisciplinary nature of this project and will focus on multiple new technologies such as augmented and virtual reality, additive manufacturing and projection mapping, therefore applicants from a wide range of disciplines are encouraged to apply, particular interest would include, but is not limited to, Computer and Software Engineers, Electrical Engineers and Product Design Engineers.

Vehicle platooning – vehicles travelling in close proximity nose-to-tail – has been identified as a potential method for significantly reducing vehicle energy consumption. Many demonstrations and trials have taken place (and continue currently) but none has, to date, delivered a comprehensive and implementable set of recommendations as to how the benefits might be delivered cost effectively and safely. This project will have at its core the objective to ensure that the range of potential impacts and benefits is properly and robustly articulated, based on sound research methodologies.

Transportation-as-a-Service (TaaS) Technology Conference is a new two-day global conference and exhibition dedicated to covering the key topics of the Connected & Autonomous Vehicles (CAV) and TaaS industry and it will take place on July 9th and 10th 2018, The Slate, Coventry, UK.  The TaaS Technology Conference will bring together international experts for two days of in-depth discussions and exhibits focused on the opportunities and challenges of a mobility future that leverages CAVs and TaaS technologies.

The purpose of this project is to develop generic new methods and tools in the detection and prediction of anomalies in time series based on novel concepts like sliding correlation coefficient, natural time analysis and machine learning with applications in a range of diverse systems. The first priority here is the outcome of the applications to constitute independent studies. Finally, since, the impact of this project will be both direct and valuable will improve the engagement between academia and industry.

The first priority here is to investigate novel materials for a range of safety and energy applications. Furthermore, the question here is whether it is possible to combine Artificial Intelligent methods and/or develop algorithms to reduce the amount of the demanding calculations. Currently, this topic has a high and direct impact both in academia and industry, as these methods will be transferable in numerous principles such as aerospace, mechanical and automotive engineering, power electronics.