Control of connected and automated vehicles: State of the art and future challenges
Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …
challenges include the unknown intentions of other road users: communication between …
Personalized route recommendation using big trajectory data
When planning routes, drivers usually consider a multitude of different travel costs, eg,
distances, travel times, and fuel consumption. Different drivers may choose different routes …
distances, travel times, and fuel consumption. Different drivers may choose different routes …
Identifying and assessing research gaps for energy efficient control of electrified autonomous vehicle Eco-Driving
The development of novel vehicle control systems that improve Fuel Economy (FE) is of
significant interest, owing to the economic, environmental, and social implications of …
significant interest, owing to the economic, environmental, and social implications of …
Finding top-k shortest paths with diversity
The classical K Shortest Paths (KSP) problem, which identifies the k shortest paths in a
directed graph, plays an important role in many application domains, such as providing …
directed graph, plays an important role in many application domains, such as providing …
Predicting available parking slots on critical and regular services by exploiting a range of open data
Looking for available parking slots has become a serious issue in contemporary urban
mobility. The selection of suitable car parks could be influenced by multiple factors-eg, the …
mobility. The selection of suitable car parks could be influenced by multiple factors-eg, the …
Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks
Origin-destination (OD) matrices are used widely in transportation and logistics to record the
travel cost (eg, travel speed or greenhouse gas emission) between pairs of OD regions …
travel cost (eg, travel speed or greenhouse gas emission) between pairs of OD regions …
LightTS: Lightweight time series classification with adaptive ensemble distillation
Due to the sweeping digitalization of processes, increasingly vast amounts of time series
data are being produced. Accurate classification of such time series facilitates decision …
data are being produced. Accurate classification of such time series facilitates decision …
Stochastic weight completion for road networks using graph convolutional networks
Innovations in transportation, such as mobility-on-demand services and autonomous driving,
call for high-resolution routing that relies on an accurate representation of travel time …
call for high-resolution routing that relies on an accurate representation of travel time …
Searching trajectories by regions of interest
With the increasing availability of moving-object tracking data, trajectory search is
increasingly important. We propose and investigate a novel query type named trajectory …
increasingly important. We propose and investigate a novel query type named trajectory …
Novel reliable routing method for engineering of internet of vehicles based on graph theory
D Zhang, Y Tang, Y Cui, J Gao, X Liu… - Engineering …, 2019 - emerald.com
Purpose The communication link in the engineering of Internet of Vehicle (IOV) is more
frequent than the communication link in the Mobile ad hoc Network (MANET). Therefore, the …
frequent than the communication link in the Mobile ad hoc Network (MANET). Therefore, the …