Driver driving style plays an important role in vehicle energy management as well as driving
safety. Furthermore, it is key for advance driver assistance systems development, toward …

Supervised learning approaches are widely used for driving style classification; however,
they often require a large amount of labeled training data, which is usually scarce in a real …

In this paper, a car-following model is utilized to study the effects of signal light on each
vehicle's fuel consumption, CO, HC and NO X. The numerical results show that each …

Driving assistance systems (DAS) is a key technology to improve fuel economy for in-use
vehicles. This also reduces the operational cost of running a fleet of these vehicles, such as …

In this paper, we apply the FVD (full velocity difference) model to study the influences of
MVFS (mean velocity feedback strategy) and NVFS (the number of vehicles feedback …

Objective: The objective of the present research was to understand drivers' interaction
patterns with hybrid electric vehicles'(HEV) eco-features (electric propulsion, regenerative …

In this paper, we focus on developing driver-in-the loop fuel economic control strategy for
multiple connected vehicles. The control strategy is considered to work in a driver assistance …

Advances in technology equip traffic domain with instruments to gather and analyze data for
safe and fuel efficient traveling. This article elaborates on the effects from taxi drivers route …

Situation awareness is usually conceptualized as design and implementation principles for
safety critical industries like aviation or military. Finland was one of the first countries in the …

In 2015, 40% of the total energy used by final users in the United Kingdom was used in the
transport sector. Hence it is important to minimise the energy consumption in the transport …