A method for emission estimation for microscopic traffic flow simulation

Kraschl-Hirschmann, Karin; Zallinger, Michael Stefan; Luz, Raphael; Fellendorf, Martin; Hausberger, Stefan

doi:10.1109/fists.2011.5973625

Cited by 13 publications

(6 citation statements)

References 4 publications

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“…The prototype of the toolbox has proven to be a valuable framework for detailed emission calculations which fit very well with measured single vehicle emissions. Compared with [1], the authors in [2] presents an intermediate calculation step to make a first estimation of the environmental impacts to avoid unessential detailed investigations and simulates the traffic flow. The traffic induced emissions are not calculated for each vehicle but by representatives using an averaging method of single vehicle trajectories produced by the traffic flow simulator.…”

Section: Methods For Emission Estimationmentioning

confidence: 99%

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Ni²,

Ding³

2015

Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

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After safe driving, eco-driving has become an economic and green driving idea, which is adapted to the modern engine technology and typically consists of changing a person's driving behavior based on general advice to drivers, such as accelerating slowly, driving smoothly, etc. The concept of eco-driving can help save energy and reduce pollution emissions in an efficient way. In this article, a comprehensive preliminary overview of state-of-art research on this issue is presented in several parts: methods for emission estimation, traffic signal control, cruise control, and eco-driving assist systems. Besides, the challenges and opportunities associated with eco-driving are discussed as well.

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Section: Methods For Emission Estimationmentioning

confidence: 99%

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Ni²,

Ding³

2015

Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

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“…The main results of the study reveal two such important factors: the gear choice and the distance from the traffic light where the message containing the information from the traffic light is received by the vehicles. For fuel consumption and gas emission measurements, the authors employ the Passenger car and Heavy duty Emissions Model (PHEM), developed at the Institute of Internal Combustion Engines and Thermodynamics of Graz University of Technology which is highly used in various R&D projects [26], [27].…”

Section: B Vehicular Communications-based Eco-driving Solutionsmentioning

confidence: 99%

Vehicular-Communications-Based Speed Advisory System for Electric Bicycles

Tal

Ciubotaru

Muntean

2016

IEEE Trans. Veh. Technol.

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Smart transportation, an important dimension of smart cities, includes both intelligent and "green" transportation solutions. Cycling, as one of the most sustainable form of transportation, is and should be an important component of the smart cities. Electric bicycles, the most popular electric vehicles, subscribe to this type of transportation. They have several advantages when compared to traditional bicycles, but also issues that relate to battery limited capacity and long periods of charging. Consequently energy-efficient solutions for electric bicycles are of very high research interest. Research on vehicular communications-based energy-efficient solutions for electric vehicles is still in early stages. Among electric vehicles, electric bicycles distinguish themselves as a special class as they have different characteristics and road-related requirements. This paper proposes a novel vehicular communications-based speed advisory system for electric bicycles. The solution recommends strategic riding (i.e. the appropriate speed) when bicycles are approaching a signaled intersection to avoid high power consumption scenarios. The proposed approach includes a Fuzzy Logic-based wind-aware speed adaptation policy, as among all the other vehicles, bicycles are mostly affected by the wind. Experimental results based on a real test-bed and extensive simulations-based testing demonstrate that by using the proposed solution significant energy savings are recorded. In addition, an analysis on comfort-related metrics shows that the proposed solution can also contribute to improving the cycling experience.

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“…Fuel consumption and pollutant emissions are calculated from engine power/speed maps. PHEM is used in various applications ranging from R&D projects on specific vehicles to emission factor calculations of multiple vehicle categories and fleets or in combination with traffic flow simulation software [12] [13] [14]. In recent years, PHEM has been further developed to meet the requirements of (hybrid) electric vehicles.…”

Section: A Energy Consumption (Ec) Modelmentioning

confidence: 99%

Can V2X communication help electric vehicles save energy?

Tielert

Rieger

Hartenstein

et al. 2012

2012 12th International Conference on ITS Telecommunications

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Battery electric vehicles (BEV) are envisioned to play a significant role in the future of personal mobility. A key challenge in the transition from internal combustion engine (ICE) powered vehicles to BEV is the limited driving range of the latter, which makes an energy-efficient operation essential. In this work, we analyze how vehicle-to-x (V2X) communication, in particular traffic-light-to-vehicle communication (TLVC), can help the drivers of BEVs save energy and thus increase driving range. Furthermore, we analyze factors impacting energy consumption which are relevant to the design of V2X applications for BEV. Our results indicate that TLVC can significantly reduce the energy consumption of BEV, up to 20% in our setup. The actual result, however, is highly dependent on a combination of traffic situation, communication range, auxiliary consumer power demand, road gradient and minimum speed requirement.

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A method for emission estimation for microscopic traffic flow simulation

Cited by 13 publications

References 4 publications

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Eco-Driving --- Current Strategies and issues, A Preliminary Survey

Vehicular-Communications-Based Speed Advisory System for Electric Bicycles

Can V2X communication help electric vehicles save energy?

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