Traffic control and intelligent vehicle highway systems: a survey

Fuel-saving potentials of platooning evaluated through sparse heavy-duty vehicle position data

“…Many aspects in platooning has been studied, such as string stability [13]- [15], vehicle control [16], vehicle-to-vehicle (V2V) communication [17], and fuel savings [18], [19]. For surveys of vehicle platooning and architectures, see [20], [21].…”

Traffic modelling framework for electric vehicles

“…This is especially true for flow based methods and these assumptions underlie many fluid models (Hartenstein and Laberteaux 2010). It should be noted that this assumption is realistic in highway networks (Baskar et al 2011) or single junctions (Piccoli andGaravello 2006, Moya andPoznyak 2009), but can not be generalised to an urban network level. We now rectify this matter by describing a basic modification to our Markov chain that resolves these issues.…”

Priority-based intersection control framework for self-driving vehicles: Agent-based model development and evaluation

“…In addition to potential decrease in crashes, there should be improvements to mobility for people currently unable to drive or improvements in environmental effects [7,8]. However, a true potential of this technology is the potential for forming cooperative vehicle systems, where vehicles coordinate their movements with surrounding vehicles [9]. Consequently, the emerging technology of selfdriving vehicle has potential for introducing a radical change in the fundamental premises of traffic control principles.…”