RESEARCH PAPER
An analysis of the use of cruise control in a passenger car
 
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1
-, Łukasiewicz Research Network - Rail Vehicles Institute “TABOR” in Poznan, Polska
2
Institute of Internal Combustion Engines and Drives, Poznan University of Technology, Polska
CORRESPONDING AUTHOR
Mateusz Nowak   

Institute of Internal Combustion Engines and Drives, Poznan University of Technology, Plac Marii Skłodowskiej-Curie 5, 60-965, Poznań, Polska
Submission date: 2020-08-25
Final revision date: 2020-09-23
Acceptance date: 2020-10-01
Publication date: 2020-10-13
 
The Archives of Automotive Engineering – Archiwum Motoryzacji 2020;89(3):37–49
 
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ABSTRACT
Most vehicles are powered by internal combustion engines. Due to the nature of their operation they emit, among others, carbon dioxide which contributes to the greenhouse effect. CO2 production is strictly correlated with fuel consumption. The article presents the results of road tests of a passenger car with a spark-ignition engine meeting the Euro 6 emission norm. The test vehicle was equipped with a classic exhaust gas aftertreatment system – a three-way catalytic converter. The aim of the study was to verify the impact of the cruise control use on the vehicle fuel consumption. The measurements were based on Portable Emission Measurement System type mobile equipment for exhaust emission tests. The tests were carried out in real driving conditions travelling on an express way. Test drives took place on a route with variable topographic profile. Three test drives with different speeds were carried out, but the aim was to obtain an average speed of 130 km/h.
 
REFERENCES (29)
1.
Advanced driver assistance systems. European Road Safety Observatory. 2016: https://ec.europa.eu/transport... (accessed on 15.05.2020).
 
2.
Automated Flight Control: https://www.faa.gov/regulation... (accessed on 15.05.2020).
 
3.
Autopilot: https://www.tesla.com/autopilo... (accessed on 15.05.2020).
 
4.
Bengler K., Dietmayer K., Färber B., Maurer M., Stiller Ch., Winner H.: Three Decades of Driver Assistance Systems. Review and Future Perspectives. IEEE Intelligent Transportation Systems Magazine. 2014, 6(4), 6–22, DOI: 10.1109/MITS.2014.2336271.
 
5.
Bian Y., Ding J., Hu M., Xu Q., Wang J., Li K.: An Advanced Lane-Keeping Assistance System with Switchable Assistance Modes. IEEE Transactions on Intelligent Transportation Systems. 2020, 21(1), 385–396, DOI: 10.1109/TITS.2019.2892533.
 
6.
European Federation for Transport and Environment AISBL. CO2 Emission From Cars: The Facts. 2018.
 
7.
Filipiak M., Jajczyk J.: Diagnostyka radarowego systemu ACC. Poznań University of Technology Academic Journals. 2016, 88.
 
8.
Fuć P., Siedlecki M., Szymlet N., Sokolnicka B., Rymaniak Ł., Dobrzyński M.: Exhaust Emissions from a EURO 6c Compliant PC Vehicle in Real Operating Conditions. Journal of KONBiN. 2019, 49(4), 421–440, DOI: 10.2478/jok-2019-0094.
 
9.
He Y., Makridis M., Fontaras G., Mattas K., Xu H., Ciuffo B.: The energy impact of adaptive cruise control in real-world highway multiple-car-following scenarios. European Transport Research Review. 2020, 12(1), 17, DOI: 10.1186/s12544-020-00406-w.
 
10.
Kollisionswarnsystemfür Stadt- und Straßenbahnen: https://www.bosch-engineering.... (accessed on 15.05.2020).
 
11.
Leach F., Kalghatgi G., Stone R., Miles P.: The scope for improving the efficiency and environmental impact of internal combustion engines. Transportation Engineering. 2020, 1, 100005, DOI: 10.1016/j.treng.2020.100005.
 
12.
Ma J., Hu J., Leslie E., Zhou F., Huang Z.: Eco-Drive Experiment on Rolling Terrain for Fuel Consumption Optimization – Summary Report. 2017.
 
13.
Merkisz J., Dobrzynski M., Kubiak K.: An impact assessment of functional systems in vehicles on CO2 emissions and fuel consumption. MATEC Web of Conferences. 2017, 118, 00030, DOI: 10/1051/matecconf/201711800030.
 
14.
Napolitano P., Fraioli V., Guido C., Beatrice C.: Assessment of optimized calibrations in minimizing GHG emissions from a Dual Fuel NG/Diesel automotive engine. Fuel. 2019, 258, 674705, DOI: 10.1016/j.fuel.2019.115997.
 
15.
Nie Z., Farzaneh H.: Adaptive cruise control for eco-driving based on model predictive control algorithm. Applied Sciences (Switzerland). 2020, 10(15), 5271, DOI: 10.3390/APP10155271.
 
16.
Orellano A.: Aerodynamic of High Speed Trains. Vehicle aero-dynamic lecture. 2010.
 
17.
Pant P., Harrison R. M.: Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: A review. Atmospheric Environment. 2013, 77, 78–97, DOI: 10.1016/j.atmosenv.2013.04.028.
 
18.
Park S., Rakha H. A., Ahn K., Moran K.: Fuel Economy Impacts of Manual, Conventional Cruise Control and Predictive Eco-Cruise Control Driving. International Journal of Transportation Science and Technology. 2013, 2(3), 227–242, DOI: 10.1260/2046-0430.2.3.227.
 
19.
Sasikala G., Ramesh Kumar V.: Development of Advanced Driver Assistance System Using Intelligent Surveillance. Lecture Notes on Data Engineering and Communications Technologies. 2019, 15, 991–1003, DOI: 10.1007/978-981-10-8681-6_91.
 
20.
Sensors Inc. Emissions Measurement Solutions. SEMTECH DS On Board In-Use Emissions Analyzer. Erkrath 2010.
 
21.
Sobczak P., Wąchała J.: Ocena wpływu systemów zwiększających komfort pracy kierowcy na poprawę bezpieczeństwa w transporcie drogowym w opinii kierowców. Autobusy. 2017, 9.
 
22.
Tan H., Zhao F., Hao H., Liu Z., Amer A.A., Babike H.: Automatic Emergency Braking (AEB) System Impact on Fatality and Injury Reduction in China. International Journal of Enviromental Research and Public Health. 2020, 17(3), DOI: 10.3390/ijerph17030917.
 
23.
Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-road Motor Vehicles. SAE International. 2018, DOI: 10.4271/j3016_201609.
 
24.
Trip Optimizer for Railroads: https://www.ge.com/research/pr... (accessed on 15.05.2020).
 
25.
Vdovin A.: Investigation of Aerodynamic Resistance of Rotating Wheels on Passenger Cars. Thesis for the degree of licentiate of engineering. 2013, Department of Applied Mechanics, Chalmars University of Technology.
 
26.
Yang W., Zhao H., Shu H.: Simulation and verification of the control strategies for aeb pedestrian collision avoidance system. Chongqing Daxue Xuebao/Journal of Chongqing University. 2019, 42(2), 1–10, DOI: 10.11835/j.issn.1000-582X.2019.02.001.
 
27.
Yue L., Abdel-Aty M.A., Wu Y., Farid, A.: The Practical Effectiveness of Advanced Driver Assistance Systems at Different Roadway Facilities: System Limitation, Adoption, and Usage. IEEE Transactions on Intelligent Transportation Systems. 2020, 21(9), 3859–3870, DOI: 10.1109/TITS.2019.2935195.
 
28.
Zautomatyzowane funkcje regulacji prędkości w pojazdach CF i XF: https://www.daftrucks.pl/pl-pl (accessed on 15.05.2020).
 
29.
Zimmerman N., Wang J. M., Jeong C., Wallace J. S., Evans G.J.: Assessing the Climate Trade-Offs of Gasoline Direct Injection Engines. Environmental Science&Technology. 2016, 50 (15), 8385–8392, DOI: 10.1021/acs.est.6b01800.
 
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eISSN:2084-476X