Towards mobility data science (vision paper)
M Mokbel, M Sakr, L ** Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods
The transportation sector remains a major contributor to greenhouse gas emissions. The
understanding of energy-efficient driving behaviors and utilization of energy-efficient driving …
understanding of energy-efficient driving behaviors and utilization of energy-efficient driving …
Prediction of vehicle CO2 emission and its application to eco-routing navigation
Transportation sector accounts for a large proportion of global greenhouse gas and toxic
pollutant emissions. Even though alternative fuel vehicles such as all-electric vehicles will …
pollutant emissions. Even though alternative fuel vehicles such as all-electric vehicles will …
Fuel consumption model for conventional diesel buses
Existing bus fuel consumption models produce a bang–bang type of control, implying that
drivers would have to either accelerate at full throttle or brake at full braking in order to …
drivers would have to either accelerate at full throttle or brake at full braking in order to …
Eco-routing problem considering fuel consumption and probabilistic travel time budget
Road transportation is one of the major sources of greenhouse gas emissions. To reduce
energy consumption and alleviate this environmental problem, this study aims to develop an …
energy consumption and alleviate this environmental problem, this study aims to develop an …
Learning to route with sparse trajectory sets
Motivated by the increasing availability of vehicle trajectory data, we propose learn-to-route,
a comprehensive trajectory-based routing solution. Specifically, we first construct a graph …
a comprehensive trajectory-based routing solution. Specifically, we first construct a graph …
A unified approach for electric vehicles range maximization via eco-routing, eco-driving, and energy consumption prediction
Driving range is one of the main obstacles to the wide diffusion of electric vehicles. In order
to overcome it without needing to increase battery size and price of the vehicle, one …
to overcome it without needing to increase battery size and price of the vehicle, one …
PACE: a PAth-CEntric paradigm for stochastic path finding
With the growing volumes of vehicle trajectory data, it becomes increasingly possible to
capture time-varying and uncertain travel costs, eg, travel time, in a road network. The …
capture time-varying and uncertain travel costs, eg, travel time, in a road network. The …
Fast stochastic routing under time-varying uncertainty
Data are increasingly available that enable detailed capture of travel costs associated with
the movements of vehicles in road networks, notably travel time, and greenhouse gas …
the movements of vehicles in road networks, notably travel time, and greenhouse gas …
Toward personalized, context-aware routing
A driver's choice of a route to a destination may depend on the route's length and travel time,
but a multitude of other, possibly hard-to-formalize aspects, may also factor into the driver's …
but a multitude of other, possibly hard-to-formalize aspects, may also factor into the driver's …