A Simulation-based Evaluation of Connected Vehicle Technology for Emissions and Fuel Consumption

Chandra, Shailesh; Camal, Francisco

doi:10.1016/j.proeng.2016.04.077

Cited by 29 publications

(10 citation statements)

References 8 publications

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“…OTORWAY on-ramp merge sections have become stubborn bottlenecks with the expansion of motorcar ownerships. Such bottlenecks can contribute to travel delay [1], cause capacity drop [2] and be a source of traffic instabilities [3] and excessive vehicular emissions [4]. To alleviate the negative aspects, there are three main methodologies [5]: optimal infrastructure design, active traffic management strategies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Optimal Vehicle Trajectory Planning With Control Constraints and Recursive Implementation for Automated On-Ramp Merging

Zhou

Cholette

Bhaskar

et al. 2019

IEEE Trans. Intell. Transport. Syst.

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This paper proposes a vehicle trajectory planning method for automated on-ramp merging. Trajectory planning tasks of an on-ramp merging vehicle and a mainline facilitating vehicle are formulated as two related optimal control problems. Rather than specifying the merge point via external computational procedures, the location and time that the onramp vehicle merges into the mainline are determined endogenously by the optimal control problem of the facilitating vehicle. Bounds on vehicle acceleration are explicitly considered. The Pontryagin Maximum Principle is applied to find the solutions of the optimal control problems. In order to accommodate the constantly changing external environment, the proposed optimal control method is subsequently implemented in a recursive planning framework. Because of the nature of the problem, the length of the planning horizon is timevarying, unlike conventional model predictive control applications where the planning horizon is of fixed length. Numerical experiments are conducted to study performances of the proposed methodology under the influence of different leading vehicle trajectories and with different lengths of the planning updating interval. In particular, an experiment involving a real-world leading vehicle trajectory and considering different traffic demand levels are presented. The proposed methodology performs well in these experiments and has demonstrated a good potential in real-time applications.

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Section: Introductionmentioning

confidence: 99%

Optimal Vehicle Trajectory Planning With Control Constraints and Recursive Implementation for Automated On-Ramp Merging

Zhou

Cholette

Bhaskar

et al. 2019

IEEE Trans. Intell. Transport. Syst.

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show abstract

“…On this basis, Zegeye et al provided a general framework to integrate macroscopic traffic flow models with microscopic fuel consumption and emission models, and extended the VT-micro model to the macroscopic traffic flow model to further shorten the simulation time and carry out fairly accurate estimates of the emissions and fuel consumption. Chandra and Camal [18] used simulation methods to calculate the fuel consumption and emissions of connected vehicle technology (CVT). e results indicated that the CVT reduces fuel consumption and emissions in different traffic conditions.…”

Section: Introductionmentioning

confidence: 99%

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

Zhao

Lin

Hao

et al. 2022

Journal of Advanced Transportation

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To analyze the impact of different proportions of connected automated vehicles (CAVs) on fuel consumption and traffic emissions, this paper studies fuel consumption and traffic emissions of mixed traffic flow with CAVs at different traffic scenarios. Firstly, the car-following modes and proportional relationship of vehicles in the mixed traffic flow are analyzed. On this basis, different car-following models are applied to capture the corresponding car-following modes. Then, Virginia Tech microscopic (VT-micro) model is adopted to calculate the instantaneous fuel consumption and traffic emissions. Finally, based on three typical traffic scenarios, a basic segment with bottleneck zone, ramp of the freeway, and signalized intersection, a simulation platform is built based on Python and SUMO to obtain vehicle trajectory data, and the fuel consumption and traffic emissions in different scenarios are obtained. The results show that (1) In different traffic scenarios, the application of CAVs can reduce fuel consumption and traffic emissions. The higher the penetration rate, the more significant the reduction in fuel consumption and traffic emissions. (2) In the three typical traffic scenarios, the advantages of CAVs are more evident in the signalized intersection. When the penetration rate of CAVs is 100%, the fuel consumption and traffic emissions reduction ratio is as high as 32%. It is noteworthy that the application of CAVs in urban transportation will significantly reduce fuel consumption and traffic emissions.

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“…To this end, a large number of multidirectional works have been carried out. We can single out several directions of research: 1) the structural improvement of nodes and systems [4,5]; 2) the creation of fundamentally new nodes and systems [6,7]; 3) the development of alternative fuels [8][9][10][11]; 4) maintaining the technical condition of vehicles in operation [11][12][13][14]; 5) the study of the laws of changes in the technical condition of vehicles and finding the optimal corrective and supporting effects [15,16].…”

Section: Introductionmentioning

confidence: 99%

Control of hydrocarbon emissions when changing the technical condition of the exhaust system of modern cars

Shepelev¹,

Гриценко²,

Salimonenko³

2021

FME Transactions

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The most applicable ICE monitoring method is selective control followed by individual corrections for the current technical condition. The combination of a gas analyzer installed individually in each collector, a motor tester, and a loader which provides test modes makes it possible to recognize failures of exhaust and other systems with high accuracy and to assign an individual corrective action to ensure specified environmental and economic parameters. We developed a generalized mathematical model of changes in the composition of exhaust gases depending on changes in the resistance of the catalytic converter, the spark gap of the spark plug, and the capacity of the electromagnetic nozzle.

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A Simulation-based Evaluation of Connected Vehicle Technology for Emissions and Fuel Consumption

Cited by 29 publications

References 8 publications

Optimal Vehicle Trajectory Planning With Control Constraints and Recursive Implementation for Automated On-Ramp Merging

Optimal Vehicle Trajectory Planning With Control Constraints and Recursive Implementation for Automated On-Ramp Merging

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

Control of hydrocarbon emissions when changing the technical condition of the exhaust system of modern cars

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