Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption

Saboohi, Yadollah; Farzaneh, Hooman

doi:10.1016/j.apenergy.2008.12.017

Cited by 190 publications

(79 citation statements)

References 9 publications

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“…Saboohi designed an eco-driving strategy which can reduce the fuel consumption by optimizing the speed and gear ratio of vehicles [21]. Mandava developed an arterial velocity planning algorithms which could minimize the acceleration/deceleration rates to reduce the fuel consumption and emissions of individual vehicle [15].…”

Section: Introductionmentioning

confidence: 99%

“…Barth and Xia simplified the optimization by modelling the acceleration and deceleration stage as trigonometric functions travel time to the intersection [16][17][18][19][20][21][22]. Rakha utilized simulation to generate various speed trajectories which comply with the constraints of signal control and then selected the trajectory with lowest fuel consumption as output [36].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Jiang¹,

An²,

Jian³

et al. 2018

Sustainability

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Abstract:This research proposed an eco-approach and departure system for left-turn vehicles at a fixed-time signalized intersection. This system gives higher priority to enhancing traffic safety than improving mobility and fuel efficiency, and optimizes the entire traffic consisted of connected and automated vehicles (CAVs) and conventional human-driven vehicles by providing ecological speed trajectories for left-turn CAVs. All the ecological speed trajectories are offline optimized before the implementation of system. The speed trajectory optimization is constructed in Pontryagin's Minimum Principle structure. The before and after evaluation of the proposed system shows the percentage of vehicles that drive pass the intersection at safe speed increases by 2.14% to 45.65%, fuel consumption benefits range 0.53% to 18.44%, emission benefits range from 0.57% to 15.69%, no significant throughput benefits is observed. The proposed system significantly enhances the traffic safety and improves the fuel efficiency and emission reduction of left-turn vehicles with no adverse effect on mobility, and has a good robustness against the randomness of traffic. The investigation also indicates that the computation time of proposed system is greatly reduced compared to previous eco-driving system with online speed optimization. The computation time is up to 0.01 s. The proposed system is ready for real-time application.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Jiang¹,

An²,

Jian³

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…RANDOM represents the RMSE for randomly selected scores from 1 to 5. The smallest RMSE of 0.82 was obtained for P 4 , with RMSE increasing to 0.99 for ALL and P 7 , and 1.92 for RANDOM.…”

Section: Correlation Coefficientmentioning

confidence: 88%

“…According to a report released by the Japanese Ministry of Land, Infrastructure, Transport and Tourism in 2012, 31.7% of serious traffic accidents involving taxies, trucks, and buses were caused by improper vehicle operation (3) , such as driving at excessive speeds, running stop signs and red lights, making improper turns, and tailgating behaviors which are associated with aggressive driving. Aggressive driving also results in increased fuel consumption, as a result of rapid acceleration and deceleration; approximately 33% higher fuel consumption at highway speeds, and 5% higher when driving in town (4) . Aggressive driving, therefore, creates both safety and resource use issues for automobilebased societies.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Method for Aggressiveness of Driving Behavior Using Drive Recorders

Miyajima

Kitaoka

2015

IEEJ Journal IA

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In this paper, we propose an automated method for measuring the aggressiveness of driving behavior by using driving signals from drive recorders. Currently, some risk consulting companies have experts review recorded driving behavior and then rate the drivers empirically. This approach is time-consuming and expensive, however, so an effective automated driver evaluation method is desired. We assumed that the aggressiveness of a driver's behavior can be determined by focusing on four types of vehicle operation behavior: steering, acceleration, deceleration, and alternation between acceleration and deceleration. Aggressiveness scores can be assigned to each of these behaviors, and a driver's overall aggressiveness score is then estimated by integrating these behaviors using multiple linear regression. We assessed the aggressiveness of 78 drivers and compared our assessments to the aggressiveness scores assigned empirically by the risk consulting experts. The proposed method achieved a rank correlation coefficient of 0.74 with the evaluations of the risk consulting experts.

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“…It has been demonstrated (Vlieger, 1997;Vlieger et al, 2000, Casanova et al, 2005, Fonseca et al, 2010 that driving style very much affects pollutant emissions and fuel economy in urban driving conditions. The way the gear box is used and the way the accelerator pedal is pressed are the main parameters that the driver can modify in their driving style (Saboohi and Farzaneh, 2009). Ecodriving (Takada et al, 2007) is a well accepted style to increase driving efficiency, but on the other hand, aggressive behaviours leads to high fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

Environmental assessment of low speed policies for motor vehicles mobility in city centers

2013

Global NEST Journal

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In order to assess the influence of reducing the speed limit from 50 km h -1 to 30 km h -1 in one-lane streets in local residential areas in large cities, real traffic tests for pollutant emissions and fuel consumption have been carried out in Madrid city centre. Emission concentration and car activity were simultaneously measured by a Portable Emissions Measurement System. Real life tests carried out at different times and on different days were performed with a turbo-diesel engine light vehicle equipped with an oxidizer catalyst and using different driving styles with a previously trained driver. The results show that by reducing the speed limit from 50 km h -1 to 30 km h -1 , using a normal driving style, the time taken for a given trip does not increase, but fuel consumption and NOx, CO and PM emissions are clearly reduced. Therefore, the main conclusion of this work is that reducing the speed limit in some narrow streets in residential and commercial areas or in a city not only increases pedestrian safety, but also contributes to reducing the environmental impact of motor vehicles and reducing fuel consumption. In addition, there is also a reduction in the greenhouse gas emissions resulting from the combustion of the fuel.

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Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption

Cited by 190 publications

References 9 publications

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Evaluation Method for Aggressiveness of Driving Behavior Using Drive Recorders

Environmental assessment of low speed policies for motor vehicles mobility in city centers

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