Fuel Consumption and Traffic Emissions Evaluation of Mixed Traffic Flow with Connected Automated Vehicles at Multiple Traffic Scenarios

Zhao, Bin; Lin, Yalan; Hao, Huijun; Yao, Zhihong

doi:10.1155/2022/6345404

Cited by 10 publications

(6 citation statements)

References 32 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The speed planning algorithm, based on the Krauss car-following model [31], is simulated and verified. The resulting trajectories and speeds of both the Krauss and Model Predictive Control (MPC) following vehicles [32] are illustrated in Figure 18 and Figure 19, respectively. Notably, the plug-in hybrid ECVT demonstrates the ability to navigate each signal intersection effectively while also achieving a superior tracking performance relative to the pure electric vehicle (EV).…”

Section: Case Study and Discussionmentioning

confidence: 99%

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Qian,

Xiang,

Zeng

et al. 2024

WEVJ

View full text Add to dashboard Cite

With the electrification and connectivity of vehicles in transportation, traditional vehicles with single drivetrains are being replaced by pure electric or hybrid electric vehicles (HEVs). This evolution has given rise to diverse electromechanical coupling drivetrains. There is a pressing need to update simulation software to assess the economic performance of vehicles in various environments, and promote sustainable development and energy conservation. This paper presents a unified framework for the construction and automated operation of large-scale automated vehicle simulations with multiple drivetrain types, facilitating synchronous information exchange among vehicles. Central to the framework is the development of a plug-and-play vehicle model based on a modular component design, facilitating the rapid assembly of vehicles with varied drivetrain configurations and standardizing simulation file management. Additionally, a standardized simulation process construction is established to accommodate the automated operation of simulations. Furthermore, a data scheduling method among vehicles is introduced to achieve multi-vehicle interconnection simulation. Finally, the effectiveness of the framework is demonstrated through a case study involving queue-following control for HEVs. This framework aims to provide a comprehensive solution for quickly establishing automated simulation environments for multi-vehicle interaction, enhancing model reusability and scalability.

show abstract

Section: Case Study and Discussionmentioning

confidence: 99%

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Qian,

Xiang,

Zeng

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…with the rapid increase in the number of vehicles worldwide, traffic congestion has been a problem in the field of transportation engineering that caused huge fuel consumption and traffic emissions [23]. it is known that delays caused by waiting at the stop-line of a signalized intersection may increase vehicles' fuel consumption and emissions.…”

Section: Fuel Consumptionmentioning

confidence: 99%

“…zhao et al [22] gave a cooperative speed advice and communication system called codrive to minimize fuel consumption at signalized intersections. fayazi and vahidi [23] proposed a controller-based modified mixed-integer linear programming at intersection for both autonomous and human-driven vehicles to improve signalized intersections time delay. in this work, we propose an algorithm and framework that guides cAvs on the mainline to create adequate gaps to the minor road that will eventually improve the flow of signalized intersections.…”

mentioning

confidence: 99%

A cooperative framework for Urban SEMI actuated signa l control at signa lized t-intersections in mixed traffic flow

Alanazi¹,

Yi²

2022

Int. J. TDI

View full text Add to dashboard Cite

cities are suffering because of the rapid urbanization and population boom, which lead to increasing the load on the current traffic systems. current traffic systems also suffer from several problems such as traffic congestion. meanwhile, transportation engineering has rapidly evolved into a technical field, considerably induced by new technologies and algorithms to address today's challenges. the rise of connected and automated vehicle (cAv) emerging technology has brought new prospects to the automobile industry and transportation system during the past decade. this paper develops and evaluates a framework for cAvs to create additional suitable gaps to the minor road vehicles to reduce the interruption of the continuous flow on semi-actuated signalized intersections. A simulation platform was developed using viSSim software to validate the effectiveness of the proposed framework. Simulation results show that the proposed algorithm improves the intersection performance where the major road delay decreases, and the intersection's capacity increases. the throughput of the targeted intersection increased up to 34% when the cAvs penetration reaches 70%.

show abstract

“…They found that the ability to shape vehicle speed trajectories collaboratively plays a dominant role in reducing urban/suburban fuel consumption, while platooning plays a dominant role in influencing the attainable fuel savings on the highway. Zhao et al (Zhao et al, 2022) studied the fuel consumption of mixed traffic flow with CAV under three typical traffic scenarios (a basic segment with bottleneck zone, ramp of the freeway, and signalized intersection) based on the simulation platform of Python and SUMO. They found that the advantages of CAV are more evident at signalized intersections, and when the MPR of CAV is 100%, fuel consumption can be reduced by 32%.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of fuel consumption and emissions benefits of connected and automated vehicles in mixed traffic flow

Li,

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

Introduction: The presence of connected and automated vehicles (CAV) in mixed traffic flows with different market penetration rates (MPRs) in urban road scenarios has a significant effect on fuel consumption and exhaust emissions.Methods: Therefore, in this study, real-world road networks and traffic data are simulated using SUMO based on actual data from a survey. The fuel consumption and emission benefits of CAVs in mixed traffic flows are well-evaluated, and the energy-saving performance of CAVs under low-speed vehicle interference is tested. In addition, this study explores both the energy consumption and emissions of purely electric vehicles.Results: The results show that with 100% CAV penetration, fuel vehicles have a maximum reduction in fuel consumption of 18% and a maximum increase in average speed of 31.6%, while the energy consumption of electric vehicles increases due to communication, detection, and collaboration between CAVs.Discussion: However, the results clearly demonstrate that the carbon emissions of electric vehicles are significantly lower than fuel vehicles. In addition, the increase in low-speed vehicles will result in an increase in energy consumption and emissions. Therefore, increasing the percentage of electric vehicles on the roads and transitioning from manual to autonomous driving systems is crucial to curbing carbon emissions.

show abstract

Fuel Consumption and Traffic Emissions Evaluation of Mixed Traffic Flow with Connected Automated Vehicles at Multiple Traffic Scenarios

Cited by 10 publications

References 32 publications

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

A cooperative framework for Urban SEMI actuated signa l control at signa lized t-intersections in mixed traffic flow

Evaluation of fuel consumption and emissions benefits of connected and automated vehicles in mixed traffic flow

Contact Info

Product

Resources

About