Effects of driving style on the fuel consumption of city buses under different road conditions and vehicle masses

Ma, Hongjie; Xie, Hui; Huang, Denggao; Xiong, Shuo

doi:10.1016/j.trd.2015.10.003

Cited by 71 publications

(40 citation statements)

References 17 publications

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“…Transportasi termasuk bagian terpenting dalam peningkatan ekonomi suatu daerah (Ma, Xie, Huang, & Xiong, 2015) (Burke & Nishitateno, 2013) (S. . Sehingga menjadikan transportasi termasuk kategori sumber utama pencemar udara yang berasal dari emisi sumber bergerak dan merupakan permasalahan di seluruh dunia karena jumlah distribusi polusi yang terus menerus meningkat (Fan, Perry, Klemeš, & Lee, 2018) hingga berdampak negatif bagi kerusakan lingkungan sekitar, bila melebihi ambang batas konsenstrasinya (Souza dkk, 2013;Chai dkk, 2016;Asensio, Gómez-lobo, & Matas, 2014) (Gallego, Montero, & Salas, 2013).…”

Section: Pendahuluanunclassified

“…Di Cina, penelitian mengenai pencemaran polutan didasari oleh karena terjadinya penurunan tingkat kesehatan penduduk (Song et al, 2017) (M. Liu et al, 2016, sehingga mereka menggunakan metode pendekatan sederhana yang terdiri dari konsentrasi polusi udara dan model penilaian penurunan kesehatan (Yang dan He, 2016). Di berbagai negara terus mengembangkan bebagai teknologi diantaranya optimasi power-train namun hingga kini penghematan bahan bakar untuk menurunkan jumlah polusi yang dikeluarkan, kini dapat menghemat 10% (Ma et al, 2015).…”

Section: Pendahuluanunclassified

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Evaluasi Pengaruh Kendaraan Bermotor Terhadap Kualitas Udara Ambien Pada Berbagai Tipe Ruas Jalan Kota Banda Aceh

Anwar

Gani

Mahidin

2020

JPTD

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Influence Evaluation of Vehicle on Air Quality in Various Types of Road in Banda Aceh City: The BandaAceh population is increasing significant day by day. Population increases will affect on increasing pollutants concentration in the air. In this study an evaluation was conducted to evaluate the air quality in roads of Banda Aceh. This research was conducted by calculating the volume of traffic roads and measuring the ambient air using AQM 65 tools. The research variables are consist of fixed variables which include place and time and independent variables include of holidays and working days. Variable Time starts at 07:00-08:00 am, 11:00-12:00 am., and 17.00-18.00 pm. Site variables include arterial roads, collector roads and local roads. Based on the results of the study showed that the number of vehicles affects the amount of pollutant concentration, in addition the intensity of the sun is also an important impact of pollution concentration. Sampling on weekdays and holidays shows the difference in the number of vehicles passing. This is due to the activities of schools and office areas on the road, so that there is a significant change in another day and time of sampling. Even weather conditions can affect changes in pollutant concentrations. Based on ISPU's calculations, the air condition of Banda Aceh City is currently in the good, safe category.

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Section: Pendahuluanunclassified

Evaluasi Pengaruh Kendaraan Bermotor Terhadap Kualitas Udara Ambien Pada Berbagai Tipe Ruas Jalan Kota Banda Aceh

Anwar

Gani

Mahidin

2020

JPTD

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“…Trucks, whether used for freight transportation or as utility vehicles, play an important role in a countries economy and improving their fuel efficiency can undoubtable prove highly beneficial. There is a large volume of published studies describing the operational efficiency of diesel engines in vehicles [1], [2]. However vast majority of work focuses on fuel consumption during transportation [3] [4], and there is scarce research on duty cycle fuel efficiency of utility trucks i.e.…”

Section: Introductionmentioning

confidence: 99%

Heavy duty vehicle fuel consumption modeling using artificial neural networks

Wysocki

Deka

Elizondo

2019

2019 25th International Conference on Automation and Computing (ICAC)

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In this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty vehicles is presented. The proposed method uses easy accessible data collected via CAN bus of the truck. As a benchmark a conventional method, which is based on polynomial regression model, is used. The fuel consumption is measured in two different tests, performed by using a unique test bench to apply the load to the engine. Firstly, a transient state test was performed, in order to evaluate the polynomial regression and 25 ANN models with different parameters. Based on the results, the best ANN model was chosen. Then, validation test was conducted using real duty cycle loads for model comparison. The neural network model outperformed the conventional method and represents fuel consumption of the engine operating in transient states significantly better. The presented method can be applied in order to reduce fuel consumption in utility vehicles delivering accurate fuel economy model of truck engines, in particular in low engine speed and torque range.

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“…Professor Chris Bingham found that the net energy consumed difference can reach 32% between drivers even they drove the same test EV car to finish the same driving cycles without any additional driving request. It showed that the management of driver behavior could provide the most significant energy benefits in all technical means [3][4][5] . The dynamics in real world driving was much more than the standard ones such as NEDC.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Driver Style difference in the Acceleration Process on the Energy Consumption of the EV Bus

Yan¹,

Fan²

2017

Proceedings of the 2016 International Conference on Engineering and Advanced Technology

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ABSTRACT:The relationship between the difference of the driver behavior and energy consumption in the same bus line was studied through analyzing the acceleration process of the driving cycles in order to solve the problem that the practical benefits in endurance mileage of the electric buses differed a lot. It shows that 47% of the energy was consumed in the process of out station and the difference reached 28.9% between the drivers. The essential reason of the difference was the deviaton of the motor operating path in the efficiency plane which was the result of accelerator pedal used in different way. The end speed of acceleration and the distribution of the accelerator pedal was useful to experss the driver style. An effective management to the motor operating path in the out station process is very helpful to the improvement of the whole energy consumption besides the minimization of the acceleration dispersion. 1.IntroductionThe research of decreasing energy consumption and extension of the driving range is a key problem to the development of the pure electric vehicle(EV). However, due to inappropriate driver behaviors the practical endurance mileage of the electric buses are significantly reduced.Numerous studies have shown that driving style (DS) has important implications on vehicle fuel consumption. Gonder conducted experiments on a light-duty vehicle and found that different DS can generate difference of approximately 30% in fuel consumption in the urban driving cycle. The difference can reach 20% in the high-speed way driving cycle. They also believe that by changing DS, aggressive drivers can reduce fuel consumption by 20%, whereas mild drivers can decrease consumption by 5-10% [1] . Sivak and Schoettle discovered through an investigation that among the fuel-saving technologies of light-duty vehicles through which drivers can make strategic decisions, the method of changing DS generates the best fuel-saving result [2] . Professor Chris Bingham found that the net energy consumed difference can reach 32% between drivers even they drove the same test EV car to finish the same driving cycles without any additional driving request. It showed that the management of driver behavior could provide the most significant energy benefits in all technical means [3][4][5] . The dynamics in real world driving was much more than the standard ones such as NEDC. During real world driving, the change rate of the accelerator pedal was more complicate which is the reflection of the driver operation patterns. The conclusion pointed out that it is better to impove the economy and the battery life by changing the pedal gently [6] . The similar view can be found in [7][8][9][10] . It has been proved that the energy consumption was greatly affected by the driver behaviors. This paper was focused on the relationship between the difference of the driver behavior and the energy consumption of the accelaration process under the same bus road conditon. 2.Data acquisitionThere were 26 bus stations and 44 crosses of the No....

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Effects of driving style on the fuel consumption of city buses under different road conditions and vehicle masses

Cited by 71 publications

References 17 publications

Evaluasi Pengaruh Kendaraan Bermotor Terhadap Kualitas Udara Ambien Pada Berbagai Tipe Ruas Jalan Kota Banda Aceh

Evaluasi Pengaruh Kendaraan Bermotor Terhadap Kualitas Udara Ambien Pada Berbagai Tipe Ruas Jalan Kota Banda Aceh

Heavy duty vehicle fuel consumption modeling using artificial neural networks

Influence of the Driver Style difference in the Acceleration Process on the Energy Consumption of the EV Bus

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