Context awareness adds intelligence to and enriches data for applications, services and
systems while enabling underlying algorithms to sense dynamic changes in incoming data …

Given traffic flow measurements for one highway, how to forecast its flow in future periods?
Recent works in traffic forecast propose burdensome procedures by depending on …

Traffic state prediction provides key information for intelligent transportation systems (ITSs)
for proactive traffic management, the importance of which has become the reason for the …

The taxi and passenger queue contexts indicate the various states of queues related to taxis
and passengers (ie taxis are waiting for passengers, passengers are waiting for taxis, both …

Accurate prediction of the generation capacity of photovoltaic systems is fundamental to
ensuring the stability of the grid and to performing scheduling arrangements correctly. In …

Traffic speed prediction can benefit a wide range of IoT applications in intelligent
transportation and smart city. Recent supervised machine learning approaches heavily …

Predicting traffic flow is crucial for transportation management and resource allocation,
which has attracted more and more attention from researchers. The traffic flow in a city …

Autonomous driving for maximum throughput of traffic is too complex to cover various cases
of exceptions in relation to large-scale cars in city, while still guaranteeing safety of the self …

The users of urban spaces need to travel from one place to another for various reasons such
as work, leisure, and freight distribution. The study of user mobility describes this movement …

The continuous expansion of the urban traffic sensing infrastructure has led to a surge in the
volume of widely available road related data. Consequently, increasing effort is being …