NCP project cargo bike depot
Travel data of electric cargo bikes published
The NCP project "Cargo Bike Depot – implementing of depots in inner cities" (Lastenraddepot: Implementierung von Innenstadtdepots für Lastenfahrräder) investigates the traffic-, logistic- and citizen-friendly implementation of load handling nodes for cargo bikes in urban areas. A component of the research is the investigation of the effect of high cargo bike traffic intensities induced by the transhipment nodes on city streets with mixed traffic.
The investigation of the effect is carried out by means of the microscopic traffic simulation program VISSIM. For conventional vehicle classes such as passenger cars, trucks, buses, trains and motorcycles, established driving behaviour models are available in the simulation software VISSIM (PTV AG 2011), but not for electric cargo bikes. For this reason, the thorough investigation of models and parameters for cargi bikes is necessary.
Now a document has been published which contains the driving data of e-cargo bikes (download xls-Datei, 77 MB). These characterize the trajectories of the cargo bikes in different traffic situations. Therefore a detailed documentation was created. Thus a transparency of the trip data is ensured and the procedure for the collection of the data is successively described. The trajectory of a cargo bike ride can be found in the corresponding individual spreadsheets. With the help of a GPS-RKT system, the trip data was recorded. At the same time, these were transmitted and displayed in the NMEA standard. These are selected data records which are complete and almost error-free.
The documentation (texts only in German!) starts with the spreadsheet "Methodisches Vorgehen" (methodical procedure). It explains the procedure and the general procedure for collecting trip data as well as the general conditions. The following table sheets "Test setup LJ" and "Test setup HL" describe in detail the test planning of the electric cargo bike type "Long John" and "Rear loader" for data collection. Subsequently, in the table sheet "Technik" (technology), the electric cargo bikes and the locating system used for data collection are described in more detail. The table sheet "Legend" gives information on how to understand the trip data in the corresponding individual table sheets. The "Long John" and "Rear loader" sheets separate the data for the two load wheels.
This document contains only selected, suitable recording data of cargo bike journeys. The data will be evaluated as part of the final report of the research project.