This chapter reviews and synthesizes three key branches of research that are essential to
modeling and planning a network of hydrogen refueling stations (HRSs) for light-duty fuel …

The Battery Electric Vehicle (BEV) prototypes are evolving into a reality in a foreseeable
future. Before BEV can embark on a mass adoption by road commuters, a new infrastructure …

The Flow-Refueling Location Model (FRLM) locates a given number of refueling stations on
a network to maximize the traffic flow among origin–destination pairs that can be refueled …

The p-median and flow-refueling models are two of the more popular models for optimal
location of alternative-fuel stations. The p-median model, one of the most widely used …

For optimizing locations of hydrogen refueling stations, two popular approaches represent
fuel demands as either nodes or paths, which imply different refueling behavior and …

Electric drive vehicles (plug-in electric vehicle or hydrogen fuel cell vehicles) have been
promoted by governments to foster a more sustainable transportation future. Wider adoption …

The aim of this paper is to find the optimal location of electric vehicle (EV) fast charging
stations by means of two methodologies: a classical flow-capturing optimization model …

Traffic congestion is one of the main problems in large cities for which several approaches
have been proposed. Park-and-ride is one of the best approaches that can remove traffic …

Abstract The European Union relies on oil for over 90% of its transportation fuels. To reduce
this dependency, the EU is developing an integrated market for compressed (CNG) and …

The transition to alternative fuels is obligatory because of the lack of enough fossil fuels and
their rising prices. However, the transition cannot be done unless sufficient infrastructures …