Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption

Song, Haokun; Zhao, Fuquan; Zhu, Guangyu; Liu, Zongwei

doi:10.1155/2023/6348778

Cited by 7 publications

(7 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, Wiedemann 99 was applied in this paper to make a comprehensive simulation of HVs' longitudinal driving behaviors. Since the vehicle following model was still necessary for the implementation of the lane change, the default lane change model in VISSIM was applied [26]. It was coupled with Wiedemann 99 so that the characteristics of human drivers could be adequately reflected and kept consistent both in longitudinal and longitudinal driving behavior.…”

Section: Hv's Driving Behavior Modelsmentioning

confidence: 99%

“…To facilitate the analysis of the comprehensive effectiveness of SVs, an economic benefit model of traffic impacts proposed by the authors before was applied [26]. As shown in Figure 6, the model was divided into three layers.…”

Section: Economic Benefit Modelmentioning

confidence: 99%

“…TSEB and EEB are all influenced by CEB, providing that the change in actual road capacity will correspond to the change in travel demand. The algorithm of the economic benefit model can be found in [26]. Special attention should be paid that the traffic economic benefits are calculated under the premise of consistent travel demand.…”

Section: Construction Economic Benefits Time Saving Economic Benefitsmentioning

confidence: 99%

“…Consequently, according to the traffic impact results, once L3 SVs are applied, a positive influence on traffic efficiency and energy consumption, as well as considerable economic benefits, will take place. The usage intensity ratio of urban expressways during peak hours on weekdays is hard to obtain directly, whose calculation method can be found in [26]. SVs can contribute to significant traffic economic benefits, as depicted in Figure 11.…”

Section: The Impact Of L3 Svs On Travel Timementioning

confidence: 99%

“…Based on the analysis results, recommendations were provided for setting up dedicated lanes for intelligent connected vehicles under different CAV penetration rates and input traffic flow rates [25]. Song et al found that under saturated and supersaturated traffic conditions, providing a proper number of dedicated lanes for L2 CAVs on urban expressways according to their penetration rate could remarkably amplify the improvement in traffic efficiency and reduction in energy consumption [26]. There are also a few studies that have studied the traffic impacts of SVs from the perspective of vehicle automation levels.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluation of Traffic Efficiency and Energy-Saving Benefits of L3 Smart Vehicles under the Urban Expressway Scenario

Song,

Zhao,

Zhu

et al. 2024

Sustainability

Self Cite

View full text Add to dashboard Cite

An L3 smart vehicle (L3 SV) could behave differently from human-driven vehicles due to its intelligent configuration and decision-making logic, and may consequently exert influences on traffic flow. In order to clarify the L3 SV’s traffic impacts and accelerate L3 SV implementation, this paper conducted an evaluation on the traffic efficiency and energy consumption influences of L3 SVs based on a microscopic traffic simulation. Taking Beijing as a case, the relevant traffic economic benefits were calculated with the help of the previously proposed traffic economic benefits model. Before modeling L3 SVs, a two-dimensional general modeling architecture for SVs was proposed. According to the architecture, the driving behavior model, as well as behavior selection models of L3 SVs, was eventually determined, based on which the intelligent driving model of L3 SVs was established. Urban expressways were selected as the simulation road type, and scenario analysis was conducted on various proportions of L3 SVs and L3 connected and autonomous vehicles (L3 CAVs), as well as the input traffic flow rates. It was found that L3 SVs can significantly reduce the travel time and energy consumption and enlarge the actual road capacity. The improvement will become particularly prominent under saturated or supersaturated traffic flow and increasing the proportion of L3 SVs and L3 CAVs can also amplify the effect of traffic optimization. The related economic benefit is considerable, which is CNY 3.104 billion a year based on Beijing’s travel and traffic conditions.

show abstract

Section: Hv's Driving Behavior Modelsmentioning

confidence: 99%

Section: Economic Benefit Modelmentioning

confidence: 99%

Section: Construction Economic Benefits Time Saving Economic Benefitsmentioning

confidence: 99%

Section: The Impact Of L3 Svs On Travel Timementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluation of Traffic Efficiency and Energy-Saving Benefits of L3 Smart Vehicles under the Urban Expressway Scenario

Song,

Zhao,

Zhu

et al. 2024

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

Environmental Impact Assessment: Automated Minibuses for Public Transport

Viere,

Boos,

van den Boom

et al. 2024

Contributions to Management Science

View full text Add to dashboard Cite

This chapter examines the environmental impacts of integrating automated minibuses into public transport systems, focusing on the trade-offs between energy savings and increased energy demand due to connectivity and automation features. A comprehensive life cycle assessment (LCA) is used to analyse the potential environmental benefits and problems of automated minibuses. The results show that the environmental benefits of these vehicles depend significantly on the electricity mix for charging, passenger occupancy, and vehicle utilisation throughout their lifetime. In particular, scenarios with renewable energy sources, high passenger occupancy, and optimal vehicle utilisation show the significant potential of automated minibuses to contribute to a more sustainable transport system. This study highlights the importance of holistic considerations, including technological, operational, and infrastructural factors, in maximising the environmental benefits of automated minibuses in urban mobility. It provides a nuanced understanding of the conditions under which automated minibuses can act as a catalyst for the transition to greener public transport.

show abstract

A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva’s public transportation

Zakeri,

Konstantas,

Sorooshian

et al. 2024

Artif Intell Rev

View full text Add to dashboard Cite

This paper proposes a novel decision-support system (DSS) to assist decision-makers in the ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland. Specifically, it aids in selecting the best scenario for incorporating AVs into Geneva’s public transportation system. The proposed DSS is architected on a combined integrated framework that includes a machine learning (ML) algorithm, random forest (RF) algorithm, and three novel multi-criteria decision-making (MCDM) algorithms: (1) Modified E-ARWEN (ME-ARWEN) for selecting the best scenario with high sensitivity; (2) Compromiser—Positive, Neutral, Negative (Compromiser-PNN) for extracting weights from stakeholders, considering their preferences and potential conflicts; and (3) Collective Weight Processor (CWP) for deriving weights from expert opinions. Besides the main objective, this article also aims to: (1) Address the gap in practical DSS software within AV-related studies by providing Python codes of the DSS; (2) Develop a highly sensitive and comprehensive MCDM framework to address the project’s needs; and (3) Employ Artificial Intelligence within the DSS to optimize outputs. By the application of the proposed DSS, four scenarios were evaluated: (1) Full integration of AVs; (2) Partial integration; (3) Pilot project in limited areas; and (4) Delayed integration. The analysis identified partial integration as the best scenario for integrating AVs. Furthermore, comprehensive analyses conducted to validate the DSS outputs demonstrated the reliability of the results.

show abstract

Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption

Cited by 7 publications

References 35 publications

Evaluation of Traffic Efficiency and Energy-Saving Benefits of L3 Smart Vehicles under the Urban Expressway Scenario

Evaluation of Traffic Efficiency and Energy-Saving Benefits of L3 Smart Vehicles under the Urban Expressway Scenario

Environmental Impact Assessment: Automated Minibuses for Public Transport

A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva’s public transportation

Contact Info

Product

Resources

About