Impacts of high resolution data on traveler compliance levels in emergency evacuation simulations

Journal Article · Thu May 05 00:00:00 EDT 2016 · International Journal of Intelligent Transport Systems Research

DOI:https://doi.org/10.1007/s13177-016-0125-z· OSTI ID:1261379

Lu, Wei ^[1]; Han, Lee D. ^[2]; Liu, Cheng ^[1]; Bhaduri, Budhendra L. ^[1]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. Univ. of Tennessee, Knoxville, TN (United States)

In this article, we conducted a comparison study of evacuation assignment based on Traffic Analysis Zones (TAZ) and high resolution LandScan USA Population Cells (LPC) with detailed real world roads network. A platform for evacuation modeling built on high resolution population distribution data and activity-based microscopic traffic simulation was proposed. This platform can be extended to any cities in the world. The results indicated that evacuee compliance behavior affects evacuation efficiency with traditional TAZ assignment, but it did not significantly compromise the performance with high resolution LPC assignment. The TAZ assignment also underestimated the real travel time during evacuation. This suggests that high data resolution can improve the accuracy of traffic modeling and simulation. The evacuation manager should consider more diverse assignment during emergency evacuation to avoid congestions.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: ORNL LDRD Director's R&D; USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1261379
• Journal Information: International Journal of Intelligent Transport Systems Research, Journal Name: International Journal of Intelligent Transport Systems Research; ISSN 1348-8503
• Publisher: Springer
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING