Estimating travel times using Wi-Fi sensor data

Estimating travel times using Wi-Fi sensor data

Hoogendoorn, S.P. (TU Delft Transport and Planning)
Daamen, W. (TU Delft Transport and Planning)
Duives, D.C. (TU Delft Transport and Planning)
Yuan, Y. (TU Delft Transport and Planning)

2016

Determining travel time information from Wi-Fi (or Bluetooth) sensors is not trivial due to various (often technical) reasons. In this contribution, we focus on the problem of distinguishing travel time from the time people spend performing activities (e.g. fuelling the car, standing still to watch the scenery, buying a train ticket). More specically, we will consider pedestrian data collected during a large-scale event in the city of Amsterdam called SAIL, where visitors walk along a route while watching and visiting tallships, eating and drinking (https://www.sail.nl/EN-2015). In this specic type of application, travel time information is required to provide information about the delays due to crowding, while the time spent on performing activities does not reflect such crowding effects.In this contribution, we will present a novel statistical approach to estimate travel time distributions from data collected by Wi-Fi sensors.

http://resolver.tudelft.nl/uuid:ff1aa437-3d1d-4e61-8313-d52d35ce420e

TRISTAN 2016: The Triennial Symposium on Transportation Analysis

TRISTAN 2016: The 9th Triennial Symposium on Transportation Analysis, 2016-06-13 → 2016-06-17, Oranjestad, Aruba

Institutional Repository

conference paper

© 2016 S.P. Hoogendoorn, W. Daamen, D.C. Duives, Y. Yuan