Modeling different penetration rates of eco-driving in urban areas: Impacts on traffic flow and emissions

Garcia-Castro, Álvaro; Monzón, Andrés; Valdés, Cristina; Romana, Manuel G.

doi:10.1080/15568318.2016.1252972

Cited by 23 publications

(13 citation statements)

References 12 publications

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“…The experimental routes were selected based on three criteria: (i) the previous study in Madrid showed that eco-driving is less effective on urban roads with severe congestion [27], so less-congested suburban roads may be better for practicing eco-driving; (ii) we chose heterogeneous itineraries composed of different geometrical segmentations and traffic volumes to analyse the eco-driving effect under different conditions; and (iii) different routes but with the same origin and destination make it easier to monitor travel time and are more convenient for the drivers when changing shifts. of 1Hz, including GPS position, travel time, speed, and fuel consumption, and sent immediately from the vehicle's diagnostic port to a mobile phone via Bluetooth.…”

Section: Route Selectionmentioning

confidence: 99%

Evaluation of Eco-Driving Training for Fuel Efficiency and Emissions Reduction According to Road Type

Wang

Boggio-Marzet

2018

Sustainability

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Eco-driving is becoming more widespread as individual car-use behaviour is a cost-effective way of improving vehicle fuel economy and reducing CO 2 emissions. The literature shows a wide range of efficiencies as a result of eco-driving, depending on route selection, traffic characteristic, road slope, and the specific impact evaluation method. This paper follows this line of research and assesses the impact of an eco-driving training programme on fuel savings and reduction of CO 2 emissions in a well-designed field trial, focusing on the specific impacts according to road type. The methodology includes a comprehensive trial on different types of road sections under various traffic conditions; a processed dataset using R codes to integrate, clean, and process all the information collected; and a systematic method to evaluate the overall and specific impacts of eco-driving. The final results show a general fuel saving after eco-driving training of up to an average of 6.3% regardless of fuel and road type. Driving performance, as represented by selected parameters (average and maximum RPM, average and maximum speed, aggressive acceleration/deceleration), changed significantly after the training. The highest fuel savings are achieved on major arterial road sections with a certain number of roundabouts and pedestrian crossings. This work contributes to an understanding of the key factors for eco-driving efficiency according to road type under real traffic conditions. It offers greater insights for policymakers in road transport planning and for drivers when applying eco-driving techniques. of information and communication technologies (ICT) to improve transport efficiency [3]. However, the investments in these strategies are huge, and the implementations are usually complex and involve multiple stakeholders. Research has shown that the potential improvements in GHG reduction from advanced engine and vehicle technologies accounted for only 4-10% and 2-8%, respectively [4]. Meanwhile, eco-driving is becoming more widespread, as individual car-use behaviour is more cost-effective and could improve vehicle fuel economy and reduce CO 2 emissions by up to 45% [5].At the operational level, eco-driving is defined as a strategy which primarily seeks to change driving habits by following easily typified rules, i.e., using vehicle inertia, accelerating and braking smoothly, maintaining a steady speed, shifting gears at low RPM, anticipating traffic, etc. [6,7]. Eco-driving can not only improve fuel efficiency but also reduce road accidents and noise as a result of drivers' calmer driving patterns [8].The literature shows that the efficiency of eco-driving varies widely depending on the experimental design, the external circumstances, and the methods of impact evaluation [9]. The fuel savings before and after receiving eco-driving instruction in several field trials revealed that fuel reduction varies from 5% in the case of a single monitored vehicle [10] to 25% immediately after drivers were enrolled in a training course [9,11],...

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Section: Route Selectionmentioning

confidence: 99%

Evaluation of Eco-Driving Training for Fuel Efficiency and Emissions Reduction According to Road Type

Wang

Boggio-Marzet

2018

Sustainability

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“…García-Castro et al [19] conducted a complete study of efficient driving in central Madrid (Spain) and concluded that:…”

Section: Eco-drivingmentioning

confidence: 99%

Green Eco-Driving Effects in Non-Congested Cities

et al. 2017

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Despite technological advances in engines and fuels, the transportation sector is still one of the largest emitters of greenhouse gas (GHG). Driving patterns, including eco-driving techniques, are a complementary measure for saving GHG emissions. Most eco-driving studies so far have been conducted in large cities suffering chronic congestion problems. The aim of this research is therefore to analyse the potential of driver behaviour for reducing emissions in a small non-congested city. Driver performance parameters such as travel speeds, number of stops, revolutions per minute, and maximum acceleration-deceleration are also studied. The methodology is designed to measure the effect of both eco-driving and eco-routing under real traffic conditions. A campaign was carried out in the city of Caceres (Spain) to collect data on various types of roads under different traffic conditions. This research concludes that eco-driving leads to CO 2 savings on all routes and road types of 17% in gasoline engines and 21% in diesel, although travel times are increased by 7.5% on average. The shortest route is also the most ecological, regardless of the traffic volume and characteristics, implying that consumption in non-congested cities depends mainly on distance travelled rather than driving patterns in terms of number of stops, speed and acceleration.

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“…Traffic calming can provide emissions reductions only if they generate a reduction in traffic activity, or a shift toward more efficient transport modes. In a study conducted in Madrid City, Garcia-Castro et al [42] showed that while under low and medium congested traffic conditions eco-driving leads to reductions of up to 2.3% in CO 2 and of up to 4.3% in NO x emissions, under highly-congested traffic conditions, emissions increase by up to 1.3% and 0.5%, respectively. In Belgium, a study showed reductions of about 10% in NO x and CO 2 , thanks to implementing a green-wave signal coordination scheme along an urban arterial road [43].…”

Section: Climate Change and Air Pollution: Co-benefits And Conflicts mentioning

confidence: 99%

Managing Traffic Flows for Cleaner Cities: The Role of Green Navigation Systems

2017

Self Cite

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Cities worldwide suffer from serious air pollution problems and are main contributors to climate change. Green Navigation systems have a great potential to reduce fuel consumption and exhaust emissions from traffic. This research evaluates the impacts of different percentages of green drivers on traffic, CO 2 , and NO x over the entire Madrid Region. A macroscopic traffic model was combined with an enhanced macroscopic emissions model and a GIS (Geographic Information Systems) to simulate emissions on the basis of average vehicle speeds and traffic intensity at the link level. NO x emissions are evaluated, taking into account not only the exhaust emissions produced by transport activity, but also the amount of the population exposed to these air pollutants. Results show up to 10.4% CO 2 and 13.8% NO x reductions in congested traffic conditions for a 90% penetration of green drivers; however, the population's exposure to NO x increases up to 20.2%. Moreover, while traffic volumes decrease by 13.5% for the entire region, they increase by up to 16.4% downtown. Travel times also increase by 28.7%. Since green drivers tend to choose shorter routes through downtown areas, eco-routing systems are an effective tool for fighting climate change, but are ineffective to reduce air pollution in dense urban areas.

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Modeling different penetration rates of eco-driving in urban areas: Impacts on traffic flow and emissions

Cited by 23 publications

References 12 publications

Evaluation of Eco-Driving Training for Fuel Efficiency and Emissions Reduction According to Road Type

Evaluation of Eco-Driving Training for Fuel Efficiency and Emissions Reduction According to Road Type

Green Eco-Driving Effects in Non-Congested Cities

Managing Traffic Flows for Cleaner Cities: The Role of Green Navigation Systems

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