Influence of connected and autonomous vehicles on traffic flow stability and throughput
•Simulation framework with different technology-appropriate car following models.•Stability analysis of traffic stream for different connected/autonomous vehicle mix.•Connected and autonomous vehicles improve string stability of mixed traffic streams.•Automation more effective than connectivity alon...
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| Published in | Transportation research. Part C, Emerging technologies Vol. 71; pp. 143 - 163 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier India Pvt Ltd
01.10.2016
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| Subjects | |
| Online Access | Get full text |
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| Abstract | •Simulation framework with different technology-appropriate car following models.•Stability analysis of traffic stream for different connected/autonomous vehicle mix.•Connected and autonomous vehicles improve string stability of mixed traffic streams.•Automation more effective than connectivity alone in preventing shockwave propagation.•Substantial throughput increases possible under certain market penetration scenarios.
The introduction of connected and autonomous vehicles will bring changes to the highway driving environment. Connected vehicle technology provides real-time information about the surrounding traffic condition and the traffic management center’s decisions. Such information is expected to improve drivers’ efficiency, response, and comfort while enhancing safety and mobility. Connected vehicle technology can also further increase efficiency and reliability of autonomous vehicles, though these vehicles could be operated solely with their on-board sensors, without communication. While several studies have examined the possible effects of connected and autonomous vehicles on the driving environment, most of the modeling approaches in the literature do not distinguish between connectivity and automation, leaving many questions unanswered regarding the implications of different contemplated deployment scenarios. There is need for a comprehensive acceleration framework that distinguishes between these two technologies while modeling the new connected environment. This study presents a framework that utilizes different models with technology-appropriate assumptions to simulate different vehicle types with distinct communication capabilities. The stability analysis of the resulting traffic stream behavior using this framework is presented for different market penetration rates of connected and autonomous vehicles. The analysis reveals that connected and autonomous vehicles can improve string stability. Moreover, automation is found to be more effective in preventing shockwave formation and propagation under the model’s assumptions. In addition to stability, the effects of these technologies on throughput are explored, suggesting substantial potential throughput increases under certain penetration scenarios. |
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| AbstractList | •Simulation framework with different technology-appropriate car following models.•Stability analysis of traffic stream for different connected/autonomous vehicle mix.•Connected and autonomous vehicles improve string stability of mixed traffic streams.•Automation more effective than connectivity alone in preventing shockwave propagation.•Substantial throughput increases possible under certain market penetration scenarios.
The introduction of connected and autonomous vehicles will bring changes to the highway driving environment. Connected vehicle technology provides real-time information about the surrounding traffic condition and the traffic management center’s decisions. Such information is expected to improve drivers’ efficiency, response, and comfort while enhancing safety and mobility. Connected vehicle technology can also further increase efficiency and reliability of autonomous vehicles, though these vehicles could be operated solely with their on-board sensors, without communication. While several studies have examined the possible effects of connected and autonomous vehicles on the driving environment, most of the modeling approaches in the literature do not distinguish between connectivity and automation, leaving many questions unanswered regarding the implications of different contemplated deployment scenarios. There is need for a comprehensive acceleration framework that distinguishes between these two technologies while modeling the new connected environment. This study presents a framework that utilizes different models with technology-appropriate assumptions to simulate different vehicle types with distinct communication capabilities. The stability analysis of the resulting traffic stream behavior using this framework is presented for different market penetration rates of connected and autonomous vehicles. The analysis reveals that connected and autonomous vehicles can improve string stability. Moreover, automation is found to be more effective in preventing shockwave formation and propagation under the model’s assumptions. In addition to stability, the effects of these technologies on throughput are explored, suggesting substantial potential throughput increases under certain penetration scenarios. The introduction of connected and autonomous vehicles will bring changes to the highway driving environment. Connected vehicle technology provides real-time information about the surrounding traffic condition and the traffic management center's decisions. Such information is expected to improve drivers' efficiency, response, and comfort while enhancing safety and mobility. Connected vehicle technology can also further increase efficiency and reliability of autonomous vehicles, though these vehicles could be operated solely with their on-board sensors, without communication. While several studies have examined the possible effects of connected and autonomous vehicles on the driving environment, most of the modeling approaches in the literature do not distinguish between connectivity and automation, leaving many questions unanswered regarding the implications of different contemplated deployment scenarios. There is need for a comprehensive acceleration framework that distinguishes between these two technologies while modeling the new connected environment. This study presents a framework that utilizes different models with technology-appropriate assumptions to simulate different vehicle types with distinct communication capabilities. The stability analysis of the resulting traffic stream behavior using this framework is presented for different market penetration rates of connected and autonomous vehicles. The analysis reveals that connected and autonomous vehicles can improve string stability. Moreover, automation is found to be more effective in preventing shockwave formation and propagation under the model's assumptions. In addition to stability, the effects of these technologies on throughput are explored, suggesting substantial potential throughput increases under certain penetration scenarios. |
| Author | Mahmassani, Hani S. Talebpour, Alireza |
| Author_xml | – sequence: 1 givenname: Alireza surname: Talebpour fullname: Talebpour, Alireza organization: Zachry Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843, United States – sequence: 2 givenname: Hani S. surname: Mahmassani fullname: Mahmassani, Hani S. email: masmah@northwestern.edu organization: Transportation Center, Northwestern University, 600 Foster St., Chambers Hall, Evanston, IL 60208, United States |
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| Snippet | •Simulation framework with different technology-appropriate car following models.•Stability analysis of traffic stream for different connected/autonomous... The introduction of connected and autonomous vehicles will bring changes to the highway driving environment. Connected vehicle technology provides real-time... |
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| SubjectTerms | Automation Autonomous vehicles Connected vehicles Efficiency Environment models Penetration Stability Stability analysis Throughput Traffic engineering Traffic flow Vehicles |
| Title | Influence of connected and autonomous vehicles on traffic flow stability and throughput |
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