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
Z Ma, BN Jørgensen, Z Ma - Energies, 2024 - mdpi.com
The transportation sector remains a major contributor to greenhouse gas emissions. The
understanding of energy-efficient driving behaviors and utilization of energy-efficient driving …

Prediction of vehicle CO2 emission and its application to eco-routing navigation

W Zeng, T Miwa, T Morikawa - Transportation Research Part C: Emerging …, 2016 - Elsevier
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 …

Fuel consumption model for conventional diesel buses

J Wang, HA Rakha - Applied energy, 2016 - Elsevier
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 …

Eco-routing problem considering fuel consumption and probabilistic travel time budget

W Zeng, T Miwa, T Morikawa - … Research Part D: Transport and Environment, 2020 - Elsevier
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 …

Learning to route with sparse trajectory sets

C Guo, B Yang, J Hu, C Jensen - 2018 IEEE 34th International …, 2018 - ieeexplore.ieee.org
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 unified approach for electric vehicles range maximization via eco-routing, eco-driving, and energy consumption prediction

L Thibault, G De Nunzio… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

PACE: a PAth-CEntric paradigm for stochastic path finding

B Yang, J Dai, C Guo, CS Jensen, J Hu - The VLDB Journal, 2018 - Springer
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 …

Fast stochastic routing under time-varying uncertainty

SA Pedersen, B Yang, CS Jensen - The VLDB Journal, 2020 - Springer
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 …

Toward personalized, context-aware routing

B Yang, C Guo, Y Ma, CS Jensen - The VLDB Journal, 2015 - Springer
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 …