Parth Bhavsar

TL;DR: Field studies conducted in this research demonstrated that the use of Het-Net broadened the range and coverage of V2V and V2I communications and the application layer handoff technique to maintain seamless connectivity for CVT applications was successfully demonstrated and can be adopted in future Het -Net supported connected vehicle applications.

TL;DR: In this article, the authors identify the risks associated with the failure of an autonomous vehicle in mixed traffic streams and develop a fault tree model to estimate the failure probabilities of each component.

TL;DR: This chapter discusses how the machine learning methods can be utilized to improve performance of transportation data analytics tools and importance of quality and quantity of available data.

TL;DR: In this article, an integrated model for reliable estimation of daily vehicle fuel savings and emissions using an integrated traffic emission modeling approach created by incorporating the US Environmental Protection Agency's vehicle emission model, MOVES, and the PARAMICS microscopic traffic simulation package.

TL;DR: In this article, a forward power-train plug-in hybrid electric vehicle model with an energy management system and a cycle optimization algorithm is evaluated for energy efficiency using wirelessly communicated predictive traffic data.