Data on the daily activity of private cars form the basis of many studies in the field of
transportation engineering. In the past, in order to obtain such data, a large number of …

Time-dependent Origin-Destination (OD) matrices are an essential input to transportation
models. A cost-efficient and widely used approach for estimating OD matrices involves the …

The aim of this paper is to estimate static Origin-Destination (OD) matrices combining
traditional data sources and Floating Car Data (FCD), testing several scenarios with different …

Although the available traffic data from navigation systems have increased steadily in recent
years, it only reflects average travel time and possibly Origin-Destination information as …

Featured Application The methodology of this study enables real-time acquisition of dynamic
traffic demand from the most basic data (traffic counts) in the field of transportation, which in …

电动汽车的集中充电行为会在一定程度造成交通拥堵, 为解决这一问题, 综合考虑交通信息和
电网信息, 基于边际定价理论得到配电网节点边际电价和交通阻塞成本, 构建电动汽车充电的全 …

Abstract In March 2020, the World Health Organization declared a global pandemic due to
an unprecedented health crisis by COVID-19. In the first stage, all the Countries applied …

Modelling the within-day dynamic of passenger flows is crucial to optimize the service
quality of public transport systems when supporting real-time operations and providing …

The estimation of the network traffic state, its likely short-term evolution, the prediction of the
expected travel times in a network, and the role that mobility patterns play in transport …

During the last decades, urban mobility has become the main concern for city councils and
transportation operators. The main problem is the traffic congestion that easily appears in …