Big data for operational efficiency of transport and logistics: a review
T Borgi, N Zoghlami, M Abed… - 2017 6th IEEE …, 2017 - ieeexplore.ieee.org
In the new information and communication era, digital transformation and adoption of recent
technological advances have become a must for all transport and logistics providers who …
technological advances have become a must for all transport and logistics providers who …
Using reinforcement learning to minimize the probability of delay occurrence in transportation
Reducing traffic delay is of crucial importance for the development of sustainable
transportation systems, which is a challenging task in the studies of stochastic shortest path …
transportation systems, which is a challenging task in the studies of stochastic shortest path …
A time and energy efficient routing algorithm for electric vehicles based on historical driving data
AM Bozorgi, M Farasat… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A routing algorithm that leads to extended driving range and battery longevity of electric
vehicles (EV) is proposed. In addition to locating the time and energy efficient routes, the …
vehicles (EV) is proposed. In addition to locating the time and energy efficient routes, the …
Intelligent total transportation management system for future smart cities
Smart mobility and transportation, in general, are significant elements of smart cities, which
account for more than 25% of the total energy consumption related to smart cities. Smart …
account for more than 25% of the total energy consumption related to smart cities. Smart …
A highly efficient vehicle taillight detection approach based on deep learning
Vehicle taillight detection is essential to analyze and predict driver intention in collision
avoidance systems. In this article, we propose an end-to-end framework that locates the rear …
avoidance systems. In this article, we propose an end-to-end framework that locates the rear …
A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls
The electric vehicle routing problem (EVRP) has been studied increasingly because of
environmental concerns. However, existing studies on the EVRP mainly focus on time …
environmental concerns. However, existing studies on the EVRP mainly focus on time …
Smart urban mobility: When mobility systems meet smart data
Cities around the world are expanding dramatically, with urban population growth reaching
nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by …
nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by …
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands
Nowadays, an increasing number of vehicle routing problem with stochastic demands
(VRPSD) models have been studied to meet realistic needs in the field of logistics. In this …
(VRPSD) models have been studied to meet realistic needs in the field of logistics. In this …
Robust shortest path problem with distributional uncertainty
Routing service considering uncertainty is at the core of intelligent transportation systems
and has attracted increasing attention. Existing stochastic shortest path models require the …
and has attracted increasing attention. Existing stochastic shortest path models require the …
Aerial surveillance in cities: When UAVs take public transportation vehicles
This paper considers using unmanned aerial vehicles (UAVs) to survey important sites
across a city. When the sites are relatively far from the UAVs' depot, the UAVs may not be …
across a city. When the sites are relatively far from the UAVs' depot, the UAVs may not be …