A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time

Bahaaldin, Karzan; Fries, Ryan; Bhavsar, Parth; Das, Plaban

doi:10.1155/2017/6357415

Cited by 16 publications

(6 citation statements)

References 42 publications

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“…Simulation results indicated that penetration and compliance rates have a positive effect on TTR, the average improvement rate was found to be about 77 per cent and 73 per cent with the increase of penetration and compliance rate, respectively. Bahaaldin et al (2017) employed VISSIM microsimulation to evaluate the impacts of CVs on no-notice evacuations based on a case study of a 24 km freeway segment of St. Louis, MO. The vehicle communication capabilities were modeled using the VISSIM's COM interface, and the microsimulation model was calibrated using field collected travel time data.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Ahmed

Yang

Gaweesh

et al. 2019

JICV

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Purpose This paper aims to present a summary of the performance measurement and evaluation plan of the Wyoming connected vehicle (CV) Pilot Deployment Program (WYDOT Pilot). Design/methodology/approach This paper identified 21 specific performance measures as well as approaches to measure the benefits of the WYDOT Pilot. An overview of the expected challenges that might introduce confounding factors to the evaluation effort was outlined in the performance management plan to guide the collection of system performance data. Findings This paper presented the data collection approaches and analytical methods that have been established for the real-life deployment of the WYDOT CV applications. Five methodologies for assessing 21 specific performance measures contained within eight performance categories for the operational and safety-related aspects. Analyses were conducted on data collected during the baseline period, and pre-deployment conditions were established for 1 performance measures. Additionally, microsimulation modeling was recommended to aid in evaluating the mobility and safety benefits of the WYDOT CV system, particularly when evaluating system performance under various CV penetration rates and/or CV strategies. Practical implications The proposed performance evaluation framework can guide other researchers and practitioners identifying the best performance measures and evaluation methodologies when conducting similar research activities. Originality/value To the best of the authors’ knowledge, this is the first research that develops performance measures and evaluation plan for low-volume rural freeway CV system under adverse weather conditions. This paper raised some early insights into how CV technology might achieve the goal of improving safety and mobility and has the potential to guide similar research activities conducted by other agencies.

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Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Ahmed

Yang

Gaweesh

et al. 2019

JICV

View full text Add to dashboard Cite

show abstract

“…As CAV deployment is expected to affect the transportation system performance, several studies have considered a mixed-traffic environment with different penetration rates of CAVs and estimated the level of service (LOS) ( 10, 32, 33 ). Several studies investigated the impacts of CAVs during natural disasters such as floods or earthquakes ( 11, 34 ). Zhu and Ukkusuri proposed an optimal car-following parameter estimation approach to calibrate the car-following behavior of connected vehicles (CV) in a no-disaster mixed-traffic environment and measured the travel time and traveled distance using connected vehicle (CV) data ( 10 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Another study proposed a framework with CV technology that optimally routes the vehicles in a flooding scenario by applying the time-dependent hyper-star algorithm ( 11 ). Last, researchers also showed that a higher penetration of CVs and longer evacuation time improves the evacuation operation in a CV environment ( 34 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Transportation System Resilience in the Presence of Connected and Automated Vehicles

Ahmed

Dey

Fries

2019

Transportation Research Record: Journal of the Transportation R

Self Cite

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Large-scale natural disasters challenge the resilience of the surface transportation system. The objective of this research was to develop a resilience model of the surface transportation system with a mixed-traffic environment and considering varying Connected and Automated Vehicle (CAV) penetration scenarios. As deployment of CAVs is expected to improve traffic operations, a resilience model was developed in this research to evaluate the resilience performance of a transportation system with several CAV penetration levels (0%, 25%, 50%, 75%, and 100%) for a given budget and recovery time. The proposed resilience quantification model was applied on a roadway network considering several disaster scenarios. The network capacity in relation to trips at any phase of disaster was compared with the pre-disaster trips to determine the system resilience. The capacity variation and the travel time variation were also estimated. The analysis showed that the resilience of the transportation system improved with CAVs in relation to travel time and capacity improvement. Link travel times were significantly improved by higher CAV penetration rate. The findings also suggested that higher penetration of CAVs (i.e., 50% or more) increased the recovery costs. For example, the recovery costs needed for medium and large-scale disasters were 50% and 90% higher, respectively, compared with the recovery costs for a small-scale disaster. These higher costs were primarily for the repair and replacement of intelligent infrastructure required to support the operation of CAVs.

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“…As CAV deployment is expected to impact the transportation system performance, several studies have considered a mixed-traffic environment with different penetration rates of CAVs, and estimated the level of service (LOS) [10,32,33]. Several studies investigated the impacts of CAVs during natural disasters such as flood or earthquake [11,34]. Zhu and Ukkusuri proposed a car following model parameter estimation model in a no-disaster mixed-traffic (i.e., connected and non-connected vehicles) environment and measured the travel time and travelled distance using connected vehicle data [10].…”

Section: Chapter 2: Literature Reviewmentioning

confidence: 99%

“…Another study proposed a framework using connected vehicle (CV) technology to optimally route the vehicles in a flooding scenario applying the time-dependent hyper-star algorithm [11]. Researchers also showed that a higher penetration of CVs and longer evacuation time improves the evacuation operation in a CV environment [34].…”

Section: Chapter 2: Literature Reviewmentioning

confidence: 99%

Resilience Modeling of Surface Transportation System in Mixed Traffic Environment

Ahmed¹

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Resilience Modeling of Surface Transportation System in Mixed Traffic Environment Shofiq Ahmed Large-scale natural disasters challenge the resilience of surface transportation system. The objective of this research was to develop a resilience model of surface transportation system in mixed-traffic environment considering varying Connected and Automated Vehicle (CAV) penetration scenarios. As deployment of CAVs are expected to improve traffic operations, a resilience model was developed in this research to evaluate the resilience performance of a transportation system with several CAV penetration levels (0%, 25%, 50%, 75% and 100%) for a given budget and recovery time. The proposed resilience quantification model was applied on a roadway network considering several disaster scenarios. The network capacity in terms of trips at any phase of disaster was compared to the pre-disaster trips to determine the system resilience. The capacity variation and the travel time variation was also estimated. The analysis showed that the resilience phenomenon of the transportation system improved with CAVs in respect of travel time and capacity improvement. The rate of improvement in link travel time for varied CAV penetration was almost identical for different disaster scenarios. For each disaster scenario, the individual link travel time reduced significantly with increased CAV penetration. However, higher penetration of CAVs (i.e., 50% or more), increased the recovery budget requirement. For example, the recovery budget needed for medium and large-scale disasters were 50% and 90% higher respectively compared to the recovery budget needed for a small-scale disaster. These higher costs were primarily needed for repair and replacement of intelligent infrastructure required for CAV.

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A Case Study on the Impacts of Connected Vehicle Technology on No-Notice Evacuation Clearance Time

Cited by 16 publications

References 42 publications

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Evaluation of Transportation System Resilience in the Presence of Connected and Automated Vehicles

Resilience Modeling of Surface Transportation System in Mixed Traffic Environment

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