Google mapping for cyclist and pedestrians

• Main Author: Wu, Haotian
• Other Authors: Lee Yee Hui
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Google maps; Flutter; Park connector networks; OpenStreetMap
• Online Access: https://hdl.handle.net/10356/174200
• Institution: Nanyang Technological University

First, this project summarizes the basic information about park connector networks (PCNs) in Singapore and analyzes the role of PCNs in daily transportation and exercise. By comparing five common cycling applications on the market, the conclusion is that Google Maps is more suitable for daily cycling or walking navigation than specialized software. In terms of results, first of all, a simple website introducing PCN was developed by combining the Google Maps platform and Keyhole Markup Language (KML). The biggest highlight of the website is the embedded Google Maps PCN static map. The second is to develop two cycling or walking applications, based on the Google Maps platform and the OSM platform respectively. A route planning application based on the Google Maps platform, you can plan a cycling route by inputting the starting point and destination. For route planning based on the OSM platform, you can directly click on the map on the screen to select the starting point and destination, and then plan a cycling or walking route, while PCN roads can be displayed directly on the interface. Finally, the satellite resolution problem is analyzed from the perspective of road extraction from remotely sensed images, and three current common road data extraction methods are also analyzed, and it is concluded that cycling data feedback and app design should still be used to solve the problem for PCN in Singapore.