We survey recent advances in algorithms for route planning in transportation networks. For
road networks, we show that one can compute driving directions in milliseconds or less even …

We study the problem of minimizing overall trip time for battery electric vehicles (EVs) in road
networks. As battery capacity is limited, stops at charging stations may be inevitable. Careful …

Electric and hybrid vehicles are a big step towards a greener mobility, but they also open up
completely new questions regarding the shortest path problem and the planning of trips …

While battery electric vehicles (EVs) are on the advance, the broad customer basis is still
concerned about battery electric range, a phenomenon commonly known as range anxiety …

We study the problem of computing paths that minimize energy consumption of a battery
electric vehicle. For that, we must cope with specific properties, such as regenerative braking …

We study the problem of electric vehicle routing in road networks. Careful route planning is
important, especially when planning far trips, because the battery capacity of electric …

We study the problem of computing constrained shortest paths for battery electric vehicles.
Because battery capacities are limited, fastest routes are often infeasible. Instead, users are …

Increasing the adoption of cycling is crucial for achieving more sustainable urban mobility.
Navigating larger cities on a bike is, however, often challenging due to the cities' fragmented …

We study the carbon footprint optimization (CFO) of a heavy-duty e-truck traveling from an
origin to a destination across a national highway network subject to a hard deadline, by …

Electric Vehicles (EVs) currently provide a major opportunity to decarbonize urban areas
and improve their quality of life, however, the mass transition towards electric mobility …