A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time
No-notice evacuations of metropolitan areas can place significant demands on transportation infrastructure. Connected vehicle (CV) technology, with real-time vehicle to vehicle and vehicle to infrastructure communications, can help emergency managers to develop efficient and cost-effective traffic m...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2017/6357415 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832554733812842496 |
---|---|
author | Karzan Bahaaldin Ryan Fries Parth Bhavsar Plaban Das |
author_facet | Karzan Bahaaldin Ryan Fries Parth Bhavsar Plaban Das |
author_sort | Karzan Bahaaldin |
collection | DOAJ |
description | No-notice evacuations of metropolitan areas can place significant demands on transportation infrastructure. Connected vehicle (CV) technology, with real-time vehicle to vehicle and vehicle to infrastructure communications, can help emergency managers to develop efficient and cost-effective traffic management plans for such events. The objectives of this research were to evaluate the impacts of CVs on no-notice evacuations using a case study of a downtown metropolitan area. The microsimulation software VISSIM was used to model the roadway network and the evacuation traffic. The model was built, calibrated, and validated for studying the performance of traffic during the evacuation. The researchers evaluated system performance with different CV penetration rates (from 0 to 30 percent CVs) and measured average speed, average delays, and total delays. The findings suggest significant reductions in total delays when CVs reached a penetration rate of 30 percent, albeit increases in delays during the beginning of the evacuation. Additionally, the benefits could be greater for evacuations that last longer and with higher proportions of CVs in the vehicle stream. |
format | Article |
id | doaj-art-cb7f602b4f7646e8adcc1adcb22e73e9 |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-cb7f602b4f7646e8adcc1adcb22e73e92025-02-03T05:50:47ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/63574156357415A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance TimeKarzan Bahaaldin0Ryan Fries1Parth Bhavsar2Plaban Das3Johnson, Mirmiran, & Thompson, 9201 Arboretum Parkway, Suite 310, Richmond, VA 23236, USADepartment of Civil Engineering, Southern Illinois University Edwardsville, Box 1800, Edwardsville, IL, USADepartment of Civil and Environmental Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, NJ 08028, USADepartment of Civil and Environmental Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, NJ 08028, USANo-notice evacuations of metropolitan areas can place significant demands on transportation infrastructure. Connected vehicle (CV) technology, with real-time vehicle to vehicle and vehicle to infrastructure communications, can help emergency managers to develop efficient and cost-effective traffic management plans for such events. The objectives of this research were to evaluate the impacts of CVs on no-notice evacuations using a case study of a downtown metropolitan area. The microsimulation software VISSIM was used to model the roadway network and the evacuation traffic. The model was built, calibrated, and validated for studying the performance of traffic during the evacuation. The researchers evaluated system performance with different CV penetration rates (from 0 to 30 percent CVs) and measured average speed, average delays, and total delays. The findings suggest significant reductions in total delays when CVs reached a penetration rate of 30 percent, albeit increases in delays during the beginning of the evacuation. Additionally, the benefits could be greater for evacuations that last longer and with higher proportions of CVs in the vehicle stream.http://dx.doi.org/10.1155/2017/6357415 |
spellingShingle | Karzan Bahaaldin Ryan Fries Parth Bhavsar Plaban Das A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time Journal of Advanced Transportation |
title | A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time |
title_full | A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time |
title_fullStr | A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time |
title_full_unstemmed | A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time |
title_short | A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time |
title_sort | case study on the impacts of connected vehicle technology on no notice evacuation clearance time |
url | http://dx.doi.org/10.1155/2017/6357415 |
work_keys_str_mv | AT karzanbahaaldin acasestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT ryanfries acasestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT parthbhavsar acasestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT plabandas acasestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT karzanbahaaldin casestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT ryanfries casestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT parthbhavsar casestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime AT plabandas casestudyontheimpactsofconnectedvehicletechnologyonnonoticeevacuationclearancetime |