摘要: |
Evacuations, the movement of people from locations of imminent or potential danger to locations of safety, are a key element to protect the health and safety of the public in the event of disasters. Different factors related to the evacuation process could affect how fast an at-risk area is evacuated. These include overall demand, departure time, driving behavior, weather conditions, etc. However, the characteristics of the at-risk area (and the surrounding areas) could also have a significant impact. The most obvious of these is the available network capacity. Additional factors such as network topology and population density can also be
associated to network performance. Therefore, this research will identify and investigate possible associations between network performance with the network characteristics (e.g. available capacity, network topology), and surges of demand such as that observed in an evacuation. Traffic simulation will be used to assess different scenarios using a small network for proof-of-concept and later scaled to megaregions. Based on the analysis, a network robustness measure will be developed with consideration of all the above mentioned characteristics. In
addition, this research will investigate applications of the robustness measure in CAV environments. |