<i>Highway Capacity Manual</i>
            Capacity Adjustment Factor Development for Connected and Automated Traffic at Signalized Intersections

Adebisi, Adekunle; Guo, Yi; Schroeder, Bastian J; Cesme, Burak; Bibeka, Apoorba; Morgan, Abby

doi:10.1061/jtepbs.0000631

Cited by 11 publications

(2 citation statements)

References 23 publications

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“…Connected and autonomous vehicles (CAVs) are expected to make a significant contribution to traffic efficiency and safety in the future [1,2]. The vehicle-to-vehicle (V2V) communication technology enables vehicles to communicate with each other in traffic to improve their perception of the driving environment.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather

Hou

2023

Sustainability

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Connected and autonomous vehicles (CAVs) are expected to significantly improve traffic efficiency and safety. However, the overall impacts of CAVs on mixed traffic have not been clearly studied because most previous research focused on one subset of the performance of mixed traffic. This study aims to provide complete information for the policymakers to make better decisions on future CAV implementation strategies with a comprehensive evaluation of the overall performance of mixed traffic. With this purpose, this study develops an integrated framework to evaluate the efficiency and safety of mixed traffic with CAVs under adverse weather conditions, which is composed of a traffic simulation, multi-vehicle crash model, single-vehicle crash model, and performance assessment. For the first time, a unified performance index is introduced to reflect the overall efficiency and safety performance of mixed traffic. The proposed framework is demonstrated with an evaluation of the performance of mixed traffic on a highway segment. Traffic efficiency and safety under different weather conditions are investigated. The impact of reaction time of human-driving vehicles (HDVs) and CAVs are also studied. Simulation results show that the overall traffic performance in terms of traffic efficiency, multi-vehicle safety, and single-vehicle safety increases with the increase in the market penetration rate (MPR). In addition, it is found that CAVs have a greater impact on improving overall traffic performance under rainy and snowy weather than in clear weather. Moreover, a shorter reaction time of HDVs and CAVs can lead to better overall traffic performance.

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Section: Introductionmentioning

confidence: 99%

Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather

Hou

2023

Sustainability

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“…It is also worth noting that there could be different capacity improvement for different roadway or facility types. For example, 40% capacity increase can be achieved at 100% penetration rate for protected movements at signalized intersections ( 10 ). At freeway weaves, up to 11% capacity increases can be achieved compared with Highway Capacity Manual estimates, equipped with the proposed control mechanism ( 11 ).…”

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confidence: 99%

Impacts of Connected and Automated Vehicles on Travel Demand and Emissions in California

Sun,

Circella,

Jaller

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The emerging connected and automated vehicle (CAV) technology is likely to bring significant changes to the transportation world. This study helps understand how the anticipated emergence of CAVs will affect various aspects of society and transportation, including travel demand, vehicle miles traveled, energy consumption, and emissions of greenhouse gases and other pollutants. We design a set of future system configurations under the California Statewide Travel Demand Model framework to simulate scenarios for the deployment of passenger CAVs in California by 2050. These scenarios consider the ownership and operational type (e.g., private and shared) of CAVs, as well as additional policies such as pricing and the use of zero-emission vehicles (ZEVs) to curb potential impacts. The scenarios are: 0. Baseline (no automation); 1. Private CAV; 2. Private CAV + Pricing; 3. Private CAV + ZEV; 4. Shared CAV; 5. Shared CAV + Pricing; 6. Shared CAV + ZEV. Impacts of the introduction of CAVs across the transportation system are quantitatively estimated. The results indicate that the mode shares of public transit and in-state air travel will likely sharply decrease, while total vehicle miles traveled (VMT) and emissions will likely increase, because of the relative convenience of CAVs. The results also show that VMT could be substantially affected by a modification in auto travel costs. This means that the implementation of pricing strategies and congestion pricing policies, together with policies that support the deployment of shared and electric CAVs, could help reduce tailpipe pollutant emissions in future scenarios.

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Lateral Influence on Capacity Adjustment of Lanes Number for Mixed Autonomous Vehicles

2024

Stochastic Two-Dimensional Microscopic Traffic Model

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Highway Capacity Manual Capacity Adjustment Factor Development for Connected and Automated Traffic at Signalized Intersections

Cited by 11 publications

References 23 publications

Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather

Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather

Impacts of Connected and Automated Vehicles on Travel Demand and Emissions in California

Lateral Influence on Capacity Adjustment of Lanes Number for Mixed Autonomous Vehicles

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