Enhancing routes selection with real-time weather data integration in spatial decision support systems

Xinyue Ye, Shoujia Li, Subasish Das, Jiaxin Du

Research output: Contribution to journalArticlepeer-review

Abstract

A notable shortcoming in contemporary digital navigation systems is their failure to incorporate live weather data. This study investigates the possibility of improving urban navigation experiences by integrating real-time weather data. We developed a navigation tool that utilizes weather data from the OpenWeather API, providing users with real-time insights into weather conditions such as temperature, wind speed and direction, precipitation, and atmospheric pressure. This tool enables users to make informed decisions about their routes and travel plans by providing updated temperature information for selected routes and assessing the risk of road sections based on weather conditions. Incorporating weather data into navigation systems has the potential to enhance driving safety, minimize travel durations, and alleviate weather-related disturbances in urban settings.

Original languageEnglish (US)
JournalSpatial Information Research
DOIs
StateAccepted/In press - 2023
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Computer Science Applications
  • Computers in Earth Sciences
  • Artificial Intelligence

Keywords

  • Decision support systems
  • Navigation tool
  • Real-time weather data
  • Weather integration

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