Abstract
As the advancement of Intelligent Transportation Systems (ITS), real-time information has been proved to be a vital solution to relieve traffic congestion. However, most of the studies focus on normal traffic environment without considering possible failure due to climate change. Climate change and associated impacts on transportation and infrastructure have become an important issue around the world in recent years. This research aims at assessing possible impacts of heavy precipitation on network reliability under real-time information. Two reliability indexes, including connectivity and travel time, are used to examine network reliability under heavy precipitation. Numerical experiments are conducted to illustrate the impact of heavy precipitation on network reliability. A real city network, the Jiaxian network, which is heavily affected by Typhoon Morakot in Taiwan, is coded.
| Original language | English |
|---|---|
| Publication status | Published - 2013 |
| Event | 20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan Duration: 2013 Oct 14 → 2013 Oct 18 |
Other
| Other | 20th Intelligent Transport Systems World Congress, ITS 2013 |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 13-10-14 → 13-10-18 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Automotive Engineering
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Transportation
- Computer Networks and Communications
- Computer Science Applications
