Since the early 1980s, short-term traffic forecasting has been an integral part of most
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …

Congestion is increasing in many urban areas. This has led to a growing awareness of the
importance of accurate traffic-flow predictions. In this paper, we introduce a prediction …

The recent development of modern intelligent transport systems has caused a major
innovation in the organization and management of traffic and enabled a pronounced …

Trip data that records each vehicle's trip activity on the road network describes the operation
of urban traffic from the individual perspective, and it is extremely valuable for transportation …

With the ability to accurately forecast road traffic conditions several hours, days and even
months ahead of time, both travellers and network managers can take pro-active measures …

The growing traffic on city streets leads to traffic disruptions, lowering the level of road safety,
as well as the problem of finding a vacant parking space. Drivers looking for a vacant …

Many road authorities work with static values for road capacities, while it has been proven
that capacity is not a fixed quantity. At the same time, there is an increasing need for …

Exposure to nitrogen dioxide (NO 2) is associated with negative human health effects, both
for short-term “peak” concentrations and from long-term exposure to a wider range of NO 2 …

Commuting traffic associated with the “9 to 5” workday shaped the morning and evening
peaks across the world. The COVID‐19 pandemic led to unprecedented changes in travel …

Accurate short-term traffic volume prediction is essential for the realization of sustainable
transportation as providing traffic information is widely known as an effective way to alleviate …