Bike-riding GPS data offers detailed insights and individual-level mobility information which
are critical for understanding bike-riding travel behaviour, enhancing transportation safety …

Map matching of trajectory data has wide applications in path planning, traffic flow analysis,
and intelligent driving. The process of map matching involves matching GPS trajectory …

Classifying a time series is a fundamental task in temporal analysis. This provides valuable
insights into the temporal characteristics of data. Although it has been applied to traffic flow …

Parking violations cause numerous problems, thus affecting daily mobility. Nevertheless,
there are no extensive statistics on illegal parking in Germany, implying that the causes of …

Background. Vehicular crowdsensing (VCS) can be a cost‐effective solution to gather data
in urban environments, leveraging the onboard sensors of modern vehicles moving around …

We propose a new data pre-processing method, sub-district-based map matching (SDBMM),
which involves projecting a trajectory onto sub-city districts (SCDs), geographical areas on …

The availability of GPS data from motorized vehicles potentially enables a much more
detailed, accurate, and up-to-date analysis of traffic behavior than survey data. Exact routes …

Revealing traffic behavior from GPS data is a possibility to create a current and detailed data
basis for city and traffic planning. Currently, traffic planning is mostly done by surveys or …

Global positioning system (GPS) trajectories recorded by mobile phones or action cameras
offer valuable insights into sustainable mobility, as they provide fine-scale spatial and …

GPS cannot perform well in urban area because of multipath problems that make GPS
location contain low accuracy. So, the map matching method is the method to adjust GPS …