The determination of the appropriate traffic signal timing plan for no- notice evacuation in densely populated areas is a noteworthy challenge because no-notice incidents occur with no advance notice of time and place. At the time of the hazardous events, at-risk residents nearby an oil refinery or chemical industry, must be evacuated and sheltered in the safe locations as quickly as possible. This research study focused on evacuating residents nearby an oil refinery during the late evening. The objective of this study was to evaluate alternatives that could optimize evacuee traffic flow in a no-notice evacuation. This research project evaluated two strategies: optimizing traffic signal timings and allowing drivers to react to traffic congestion and change their route or destination shelter. The simulation case study focused on a residential area in the City of Wood River, Illinois. An effective traffic signal timing plan was identified by using traffic simulation software Synchro 8.0 and VISSIM 7.0 for the optimum evacuation in view of three different simulation scenarios. These scenarios included existing traffic infrastructure, allowing flexible shelter choice (scenario one) and the optimizing traffic signal timing and allowing flexible shelter choice (scenario two). Node raw data (delay, TStopd, stops) in ten intersection nodes and vehicle travel time raw data (travel time, delay time) in four evacuation routes were the comparison elements for these simulation scenarios. Using vehicle travel time data, Z-test and Chi-square experimental results indicated that scenario two was an optimal selection since scenario two reduced the summation of average travel time along with all evacuation routes 78% more than the existing traffic infrastructure scenario and 48% more than the scenario one. Similarly, in terms of delay, scenario two reduced the average delay time approximately 80% along with all evacuation routes than the existing infrastructure scenario and 52% than the scenario one. Using the node raw data in the T-test and the ANOVA test, it was also observed that scenario two achieved utmost recognition for the fastest evacuation strategy compared to existing the traffic infrastructure scenario and scenario one. The results suggested that optimizing the signal timing and allowing drivers’ flexibility in choosing evacuation routes achieved the fastest evacuation. These findings indicate that a longer cycle length at one particular intersection was an important factor. This simulation study illustrated the effectiveness of the changing traffic signal timing settings according to the evacuee traffic demand and its potential application in a possible no-notice evacuation scenario.
|Advisor:||Fries, Ryan, Qi, Yan|
|Commitee:||Cross, Brad, Fries, Ryan, Qi, Yan|
|School:||Southern Illinois University at Edwardsville|
|School Location:||United States -- Illinois|
|Source:||MAI 56/04M(E), Masters Abstracts International|
|Keywords:||Delay time, No-notice evacuation, Shelter center, Signal timing, Travel time, VISSIM and synchro simulation|
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