Urban transportation systems are susceptible to disturbances, interruptions, and risks from
natural and human causes. The concept of resilience has been introduced into urban …

This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

We present a new approach to lightweight intelligent transportation systems. Our approach
does not rely on traditional expensive infrastructures, but rather on advanced machine …

In the last decades, transport demand has increasedquickly due to several concurrent
factors. The negative impacts ofincreased demand have many effects on both travelers …

We study the problem of identifying vehicle trajectories from the sequences of noisy
geospatial-temporal datasets. Nowadays we witness the accumulation of vehicle trajectory …

As climate change influences flood frequency, transportation damage and disruptions will
become more common. Given the network's expanse and cost of construction, communities' …

Intelligent transportation systems (ITSs) providing efficient road-transportation strategies
have recently become a very active research area. Efficient transportation of visitors to/from …

Using the Cloud for large-scale distributed simulations, such as agent-based traffic
simulations, sounds like a good idea, as it is possible to provision and release easily …

In this paper we describe a highly scalable multi-modal traffic simulation platform on parallel
and distributed environments ranging from multi-core or many core machines to multi-node …

Analyzing large-scale traffics by simulation needs repeating execution many times with
various patterns of scenarios or parameters. Such repeating execution brings about big …