Understanding bikeability: a methodology to assess urban networks

A fully separated bicycle network from vehicular traffic is not realistic even for the most bicycle-friendly cities. Thus, all around the world urban cycling entails switching between streets of different safety, convenience, and comfort levels. As a consequence, the quality of bicycle networks should be evaluated not based on one but multiple...

Estimation of a recursive link-based logit model and link flows in a sensor equipped network

This paper describes a method to estimate the parameters of a Recursive link-based Logit model (RL) using measurements of a set of spatially fixed proximity sensors, with limited hit rates, which can uniquely identify people, such as Wi-Fi-, RFID- or Bluetooth-sensors. The observed ‘route’ of an individual, where we focus on pedestrians in an...

Enhancing crowd monitoring system functionality through data fusion: Estimating flow rate from wi-fi traces and automated counting system data

Crowd monitoring systems (CMSs) provide a state-of-the-art solution to manage crowds objectively. Most crowd monitoring systems feature one type of sensor, which severely limits the insights one can simultaneously gather regarding the crowd’s traffic state. Incorporating multiple functionally complementary sensor types is expensive. CMSs are...

Running with the center of mass on the hip is far from optimal

Running robots often have their center of mass (CoM) located on the hip. This decouples the pitching and CoMdynamics and therefore allows for simple control schemes. However, by creating an offset between the CoM and the hip, and herewith introducing coupling between the pitching and CoMdynamics, the performance of the running robot might...