Road network and GPS tracking with data processing and quality assessment

• Main Author: Zhao, Xiaoyun
• Format: Others
• Language: English
• Published: Högskolan Dalarna, Mikrodataanalys 2015
• Subjects: GPS tracking; Reliability; Road network; visualized map; road network; Map-matching; P-median Model; Network density; Social and Economic Geography; Social och ekonomisk geografi
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:du-17354; http://nbn-resolving.de/urn:isbn:978-91-89020-92-4

GPS technology has been embedded into portable, low-cost electronic devices nowadays to track the movements of mobile objects. This implication has greatly impacted the transportation field by creating a novel and rich source of traffic data on the road network. Although the promise offered by GPS devices to overcome problems like underreporting, respondent fatigue, inaccuracies and other human errors in data collection is significant; the technology is still relatively new that it raises many issues for potential users. These issues tend to revolve around the following areas: reliability, data processing and the related application. This thesis aims to study the GPS tracking form the methodological, technical and practical aspects. It first evaluates the reliability of GPS based traffic data based on data from an experiment containing three different traffic modes (car, bike and bus) traveling along the road network. It then outline the general procedure for processing GPS tracking data and discuss related issues that are uncovered by using real-world GPS tracking data of 316 cars. Thirdly, it investigates the influence of road network density in finding optimal location for enhancing travel efficiency and decreasing travel cost. The results show that the geographical positioning is reliable. Velocity is slightly underestimated, whereas altitude measurements are unreliable.Post processing techniques with auxiliary information is found necessary and important when solving the inaccuracy of GPS data. The densities of the road network influence the finding of optimal locations. The influence will stabilize at a certain level and do not deteriorate when the node density is higher.