Abstract
A simple methodology is proposed to quantify operating parameters of urban transport system by means GPS technology of low cost. Parameters such as: travel-time, speed, and delay were analyzed at a grade-separated busway without overtaking and with traffic signals. The system has 10.3 km of exclusive platform, 13 Bus stops, 17 Intersections and 7 U-turns. A mistake up to 10% by distance increase was reduced substantially applying an algorithm. GPS data and corrective method were validated and state-space-speed models were obtained for the route characterization and can be useful to optimization. Fuzzy c-means clustering was used for speed dataset.
Original language | English |
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Pages (from-to) | 305-312 |
Number of pages | 8 |
Journal | Procedia Computer Science |
Volume | 83 |
DOIs | |
State | Published - 2016 |
Externally published | Yes |
Event | 7th International Conference on Ambient Systems, Networks and Technologies, ANT 2016 and the 6th International Conference on Sustainable Energy Information Technology, SEIT 2016 - Madrid, Spain Duration: 23 May 2016 → 26 May 2016 |
Bibliographical note
Publisher Copyright:© 2016 The Authors.
Keywords
- GPS receiver
- data clustering
- fuzzy c-means
- state-space-speed model
- travel-speed
- travel-time