Electrification of bus fleets in most cities is expected to rise due to its significant
environmental benefits. However, electric buses have limited driving range and long …

The efficiency of a transport system depends on several elements, such as available
technology, governmental policies, the planning process, and control strategies. Indeed, the …

Column generation (CG) is widely used for solving large-scale optimization problems. This
article presents a new approach based on a machine learning (ML) technique to accelerate …

Publisher Summary This chapter reviews a survey on the operations research literature
applied to the domain of public transit, with a focus on recent contributions. It highlights a …

In this paper, we propose a vehicle-scheduling model for electric transit buses with either
battery swapping or fast charging at a battery station, and a vehicle-scheduling model with …

The railway crew scheduling problem consists of finding the most efficient duty combination
for railway crews to cover all trains and related activities for a defined period of time. Crew …

Encouraged by international efforts to reduce greenhouse gases and local emissions, many
public transport operators are converting their fleets to battery-powered electric buses …

The use of electric buses is expected to rise due to its environmental benefits. However,
electric vehicles are less flexible than conventional diesel buses due to their limited driving …

This paper discusses the integrated vehicle-and crew-scheduling problem in public transit
with multiple depots. It is well known that the integration of both planning steps discloses …

Due to the characteristics of electric buses, such as mileage limitations, multiple charging
modes, and long charging times, traditional vehicle scheduling and driver scheduling …