Doubling throughput in urban roads by platooning**This research was supported by the California Department of Transportation and TUBITAK-2219 program. We thank Rene Sanchez of Sensys Networks for the data in Table 1, and Alex A. Kurzhanskiy, Gabriel Gomes, Roberto Horowitz and Sam Coogan and others in the Berkeley Friday Arterial seminar for stimulating discussions.

Lioris, Jennie; Pedarsani, Ramtin; Taşçıkaraoğlu, Fatma Yıldız; Varaiya, Pravin

doi:10.1016/j.ifacol.2016.07.009

Cited by 29 publications

(2 citation statements)

References 5 publications

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“…The actuated single control system proved to be an effective strategy in this scenario which had a great impact on the delay time minimization. This study is in agreement with the previous simulation studies [16,18,21,22] which concluded that actuated signal control outperforms the signal control systems as compared to the fixed traffic control. Therefore, this research study reinforces the previous research findings.…”

Section: Figuresupporting

confidence: 92%

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Implementation of Different Traffic Management Strategies on Major Roads for the Improvement of Traffic Flow in Lahore City

et al. 2020

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Traffic congestion causes many socio-economic problems in developing nations. One of the main causes of traffic congestion can be attributed to poor design practices. In the last few years, Lahore city has expanded haphazardly where the allocation of resources was done based on political will instead of feasible design practices. This haphazard growth coupled with a poor design resulted in traffic congestion on the main roads of the city. In this study, simulations using different traffic management design strategies were carried out on major roads to check if traffic delays and Level of Service (LOS) can be improved. The most feasible designs based on the simulated results were proposed for the improvement of the existing infrastructure designs. These findings suggested that Akbar Chowk and Jinnah Hospital Intersection have greatly reduced the traffic delay time by 92.97% and 92.67%, respectively. Policymakers can utilize these simulated results for future design guidelines to accommodate the future growth of traffic on these arterial roads.

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Section: Figuresupporting

confidence: 92%

“…Ngoduy [17] showed through numerical simulations that actuated traffic control system performs better in dynamic capacity equilibrium conditions for fixed traffic control systems. Jennie Lioris et al [18] argued that traffic throughputs can be doubled if we adopt actuated traffic control strategies for fixed traffic control systems.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Different Traffic Management Strategies on Major Roads for the Improvement of Traffic Flow in Lahore City

et al. 2020

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Connectivity and Automation as Enablers for Energy-Efficient Driving and Road Traffic Management

Othman

Nunzio

Sciarretta

et al. 2021

Handbook of Climate Change Mitigation and Adaptation

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In the member countries of the Organization for Economic Cooperation and Development (OECD), projections show that the improved energy efficiency in transportation may lead to a net decline of about 2% in energy use until 2040, thus outpacing the predicted increase of vehicle-miles traveled (VMT). However, in OECD-Europe, transportation still represents the biggest source of carbon emissions, contributing by about 25% to the total CO2 emissions, with cars and vans representing more than two thirds of this share. The situation is even more alarming in non-OECD countries, where the transportation energy demand is expected to rise by 64% until 2040. The shift that we are witnessing toward the adoption of connected and automated vehicles (CAVs) is going to be perhaps, the most disruptive since the early days of automobiles and could revolutionize movement of people and goods. This level of connectivity and autonomy will transform transportation in several dimensions with important societal and economic impacts: improved safety, increased comfort, time saving potential, and more efficient road utilization are among the most widely discussed positive impacts of CAVs. However, the potential energy efficiency benefits of these technologies remain uncertain. From a single-vehicle efficiency perspective, research suggests that lightweight, low-speed, autonomous vehicles have the potential to achieve fuel economy an order of magnitude higher than current cars. Yet, at system-wide level, current estimates suggest that the total energy consumption impacts can range from a 90% decrease to a 200% increase in fuel consumption as compared to a projected 2050 baseline energy consumption. The paradigm that traffic congestion mitigation should reduce CO2 emissions is yet to be proved. Therefore, interest in transportation regulation problems with explicit environmental considerations is growing. This work takes a more in-depth look at increased opportunities for energy-efficient driving with energy-oriented traffic management and CAVs deployment. In particular, the focus will be put on the road traffic control strategies in urban networks using connectivity to enable variable speed limits and traffic light adaptive control, as well as the energy-saving opportunities that arise for individual CAVs by anticipating future road geometry, traffic conditions, and interactions with neighboring vehicles.

show abstract

Connectivity and Automation as Enablers for Energy-Efficient Driving and Road Traffic Management

Othman

Nunzio

Sciarretta

et al. 2022

Handbook of Climate Change Mitigation and Adaptation

View full text Add to dashboard Cite

In the member countries of the Organization for Economic Co-operation and Development (OECD), projections show that the improved energy efficiency in transportation may lead to a net decline of about 2% in energy use until 2040, thus outpacing the predicted increase of vehicle-miles traveled (VMT). However, in OECD-Europe, transportation still represents the biggest source of carbon emissions, contributing by about 25% to the total CO2 emissions, with cars and vans representing more than two thirds of this share. The situation is even more alarming in non-OECD countries, where the transportation energy demand is expected to rise by 64% until 2040. The shift that we are witnessing toward the adoption of connected and automated vehicles (CAVs) is going to be perhaps, the most disruptive since the early days of automobiles and could revolutionize movement of people and goods. This level of connectivity and autonomy will transform transportation in several dimensions with important societal and economic impacts: improved safety, increased comfort, time saving potential, and more efficient road utilization are among the most widely discussed positive impacts of CAVs. However, the potential energy efficiency benefits of these technologies remain uncertain. From a single-vehicle efficiency perspective, research suggests that lightweight, low-speed, autonomous vehicles have the potential to achieve fuel economy an order of magnitude higher than current cars. Yet, at system-wide level, current estimates suggest that the total energy consumption impacts can range from a 90% decrease to a 200% increase in fuel consumption as compared to a projected 2050 baseline energy consumption. The paradigm that traffic congestion mitigation should reduce CO2 emissions is yet to be proved. Therefore, interest in transportation regulation problems with explicit environmental considerations is growing. This work takes a more in-depth look at increased opportunities for energy-efficient driving with energy-oriented traffic management and CAVs deployment. In particular, the focus will be put on the road traffic control strategies in urban networks using connectivity to enable variable speed limits and traffic light adaptive control, as well as the energy-saving opportunities that arise for individual CAVs by anticipating future road geometry, traffic conditions, and interactions with neighboring vehicles.

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Cited by 29 publications

References 5 publications

Implementation of Different Traffic Management Strategies on Major Roads for the Improvement of Traffic Flow in Lahore City

Implementation of Different Traffic Management Strategies on Major Roads for the Improvement of Traffic Flow in Lahore City

Connectivity and Automation as Enablers for Energy-Efficient Driving and Road Traffic Management

Connectivity and Automation as Enablers for Energy-Efficient Driving and Road Traffic Management

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