Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Freeway Segments

Adebisi, Adekunle; Liu, Yan; Schroeder, Bastian J; Ma, Jiaqi; Cesme, Burak; Jia, Anxi; Morgan, Abby

doi:10.1177/0361198120934797

Cited by 29 publications

(9 citation statements)

References 26 publications

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“…However, in the CAV environment, the mainline capacity is estimated as 2306 vphpl, an increase of 16% over CHVs (Figure 7c); moreover, the critical density also increases to 23 vpkpl due to reduced gap parameters. These results can be considered reasonable in comparison with previous findings concerning capacity and its rate of increase [39,40], and are expected as CAV technologies are anticipated to increase network throughput [4].…”

Section: Preliminary Results: Impact Of Connectivity and Automationsupporting

confidence: 88%

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Kim

Lee

2023

IET Intelligent Trans Sys

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A merging section on a freeway is a typical bottleneck where congestion easily occurs due to interference caused by vehicles entering the mainline from the ramp. To achieve higher speeds and/or yield to merging vehicles, drivers on the mainline often change lanes while continuously examining the circumstances ahead that are within their sight. This individual lane‐changing behaviour is somewhat myopic and could cause an imbalance in lane use, resulting in earlier onset of congestion and a more severe capacity drop than with balanced lane use. This study proposes a feedback‐based lane‐changing control strategy that balances lane flow at merge bottlenecks to mitigate capacity drop under a connected vehicle environment. The proposed Proportional‐Integral‐Derivative feedback controller examines the traffic state of the inner lanes and systematically governs the number of lane‐changing vehicles to prevent possible excessive disturbance. The proposed strategy is evaluated using microscopic simulation. For the hypothetical network, the strategy reduces the imbalance in lane flows and improves discharge flow rate as well as travel time. For the real‐world network, the strategy can also effectively relieve congestion in a possible scenario of connected automated vehicle adoption. These results indicate that the proposed strategy can improve flow efficiency for high‐volume traffic.

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Section: Preliminary Results: Impact Of Connectivity and Automationsupporting

confidence: 88%

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Kim

Lee

2023

IET Intelligent Trans Sys

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“…The results showed that the rate of roadway capacity improvement increases with the CAV penetration rate. Similar results were also found in Wang et al ( 27 ) and Adebisi et al ( 28 ). Although the positive impact of CAVs on the capacities of arterial or local roads has also been well studied, this paper limits its scope only to the effect of CAVs on highway capacity because in many cases, the highway system is the first choice for commodity shipments in supply chains.…”

Section: Methodssupporting

confidence: 91%

Effect of Connected and Autonomous Vehicles on Supply Chain Performance

Zhao

Lee

2022

Transportation Research Record: Journal of the Transportation R

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This paper proposes a simulation framework that quantitatively assesses the direct and indirect effects of connected and autonomous vehicles (CAVs) on a supply chain system by varying the levels of CAV market penetration and driverless truck adoption. To quantify CAV effects on transportation network, this paper first collects secondary data and adopts simulation parameters and equations from existing literature. The results from transportation analysis are then incorporated into supply chain analysis to evaluate how CAVs would change supply chain performance measured by total travel time, greenhouse gas emissions, and supply chain cost. As the performance of supply chain systems involving perishable or semi-perishable products is highly sensitive to CAV market penetration rate and driverless truck adoption rate mainly because of reduced travel time, this paper uses fresh potato supply chain systems as an illustrative example. The case study results indicate that CAVs can greatly improve supply chain performance directly and indirectly by decreasing total travel time and supply chain costs, whereas emissions are reduced primarily through the adoption of driverless trucks in the supply chain system. The effect of CAVs on supply chain performance becomes even greater when commodities travel longer distances. This study will allow supply chain managers (and grocery delivery companies) to better understand how supply chain design and operation could be transformed and reoptimized in response to the introduction of CAV technologies. The research outcomes would help them better utilize the opportunities and address possible challenges that may arise as a result of CAVs.

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“…Although both efficiency and safety of mixed traffic improve with the MPR, according to previous studies, they may change in different patterns. It is documented in previous studies that the increase in traffic capacity is very limited when the MPR is less than 20% [4], whereas the improvement of traffic safety can be significant at this MPR level [5]. Hence, both efficiency and safety of mixed traffic need to be investigated thoroughly.…”

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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Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Freeway Segments

Cited by 29 publications

References 26 publications

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Lane‐changing control with balancing lane flow at freeway merge bottlenecks in a connected vehicle environment: Application of a PID controller

Effect of Connected and Autonomous Vehicles on Supply Chain Performance

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

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