00985988

Component

https://doi.org/10.3141/1886-06

http://scholar.google.com...haie&publication_year=2004

A microscopic simulation model (MITSIMLab) for evaluating emergency evacuation plans was developed for the Los Alamos National Laboratory (LANL). MITSIMLab was used as the microscopic traffic simulator to model traffic operations. The study area consisted of the entire region that includes all technical areas within the LANL and the towns of White Rock and Los Alamos, New Mexico. Evacuation planning is a critical component of overall security planning. The approach adopted presents a laboratory-like setup to evaluate a large range of evacuation scenarios including no evacuation. Five evacuation scenarios are considered in LANL evacuation planning. The scenarios, developed in consultation with the Emergency Management Office of LANL, include full or partial closures of various roads, limited access to some special facilities, and security delays at certain locations. Performance measures for evaluating an evacuation plan include the total time to achieve a complete evacuation, the time needed for a partial evacuation in which the population within certain areas is at risk, and the percentage of the population in affected zones as a function of time.

This paper appears in Transportation Research Record No. 1886, Intelligent Transportation Systems and Vehicle-Highway Automation 2004.

00985982

English

p. 40-48

2004

Transportation Research Record

030909481X

Figures (7) ; References (9) ; Tables (1)

Access control (Transportation); Emergencies; Evacuation; Forecasting; Microsimulation; Planning; Security; Street closure; Traffic simulation

Los Alamos National Laboratory

Los Alamos (New Mexico); White Rock (New Mexico)

Highways; Operations and Traffic Management; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Feb 18 2005 12:00AM

• ADAPTIVE PLANNING FOR DEALING WITH UNCERTAINTY IN IMPLEMENTING ADVANCED DRIVER ASSISTANCE SYSTEMS
• ALGORITHM FOR PREDICTING INATTENTIVE SIGNAL VIOLATORS IN AN INFRASTRUCTURE-BASED INTELLIGENT SYSTEM
• COMPARATIVE ANALYSIS OF CUSTOMER RESPONSE TO ONLINE TRAFFIC INFORMATION IN TWO CITIES: LOS ANGELES, CALIFORNIA, AND SEATTLE, WASHINGTON
• DATA REQUIREMENTS FOR ENHANCED DIGITAL MAPS IN AN ADVANCED CURVE-SPEED WARNING SYSTEM
• DEPLOYMENT OF INTELLIGENT TRANSPORTATION SYSTEMS IN COUNTRIES WITH DEVELOPING AND TRANSITIONAL ECONOMIES: ITS TOOLKIT
• METHOD FOR IDENTIFYING VEHICLE MOVEMENTS FOR ANALYSIS OF FIELD OPERATIONAL TEST DATA
• MULTIOBJECTIVE MODEL FOR LOCATING AUTOMATIC VEHICLE IDENTIFICATION READERS
• PARKING GUIDANCE SYSTEM: SAN JOSE, CALIFORNIA
• SOUTH JERSEY REAL-TIME MOTORIST INFORMATION SYSTEM: TECHNOLOGY AND PRACTICE
• TRAVELER INFORMATION PROVISION FOR INCIDENT MANAGEMENT: IMPLICATIONS FOR VEHICLE EMISSIONS
• USER PERCEPTIONS AND PREFERENCES OF ADVANCED DRIVER ASSISTANCE SYSTEMS
• USING DECISION TREES TO IMPROVE THE ACCURACY OF VEHICLE SIGNATURE REIDENTIFICATION
• USING MICROSCOPIC SIMULATION TO EVALUATE POTENTIAL INTELLIGENT TRANSPORTATION SYSTEM STRATEGIES UNDER NONRECURRENT CONGESTION
• WHAT WE KNOW NOW THAT WE WISH WE KNEW THEN ABOUT INTELLIGENT TRANSPORTATION SYSTEMS: A RETROSPECTIVE ON THE 1992 STRATEGIC PLAN