Abstract
Real-world vehicle and engine activity data were collected from 90 heavy-duty vehicles in California, United States, most of which have engine model year 2010 or newer and are equipped with selective catalytic reduction (SCR). The 90 vehicles represent 19 different groups defined by a combination of vocational use and geographic region. The data were collected using advanced data loggers that recorded vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters (including engine load and exhaust temperature) at the frequency of one Hz. This article presents plots of real-world exhaust temperature and engine load distributions for the 19 vehicle groups. In each plot, both frequency distribution and cumulative frequency distribution are shown. These distributions are generated using the aggregated data from all vehicle samples in each group.
Specifications Table
| Subject area | Engineering |
| More specific subject area | Emissions control from diesel engines |
| Type of data | Graph |
| How data was acquired | The data were collected from 90 heavy-duty vehicles using J1939 Mini LoggerTMproduced by HEM Data. |
| Data format | Analyzed |
| Experimental factors | The 90 vehicles represent 19 different groups defined by a combination of vocational use and geographic region. Almost all of the vehicles have engine model year 2010 or newer and are equipped with SCR. |
| Experimental features | The data collection effort spanned from November 2014 to September 2016, but was intermittent depending on when the vehicles and data loggers were available. For each vehicle, the data were collected for a minimum period of one month. The collected data include vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters at the frequency of one Hz. |
| Data source location | All the vehicles are domiciled and operated mostly in California, United States. |
| Data accessibility | The data are provided in this article. |
| Related research article | Boriboonsomsin, K., Durbin, T., Scora, G., Johnson, K., Sandez, D., Vu, A., Jiang, Y., Burnette, A., Yoon, S., Collins, J., Dai, Z., Fulper, C., Kishan, S., Sabisch, M., and Jackson, D. (2018). “Real-world exhaust temperature profiles of on-road heavy-duty diesel vehicles equipped with selective catalytic reduction.” Science of the Total Environment, accepted on Mar 29, 2018. |
Value of the data
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The data allows for a comparison of real-world exhaust temperature and engine load distributions by vocation.
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The data can be compared with other data from different locations and new data collected in future works.
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The exhaust temperature distributions can be used to analyze the potential NOx conversion efficiency of different types of SCR, as done in Ref. [1].
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The data can be used to support the design of exhaust aftertreatment systems for heavy-duty diesel vehicles in specific vocations.
1. Data
The data includes plots of real-world exhaust temperature and engine load distributions for the 19 different groups of on-road heavy-duty vehicles in California as defined by a combination of vocational use and geographic region (Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6, Fig. 7, Fig. 8, Fig. 9, Fig. 10, Fig. 11, Fig. 12, Fig. 13, Fig. 14, Fig. 15, Fig. 16, Fig. 17, Fig. 18, Fig. 19). In each plot, both frequency distribution and cumulative frequency distribution are shown. These distributions are generated using the aggregated data from all vehicle samples in each group. Note that the exhaust temperature here is referred to the exhaust gas temperature at the inlet of SCR.
Fig. 1.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 1a (Line haul – out of state).
Fig. 2.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 1b (Line haul – in state).
Fig. 3.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 2a (Drayage – Northern California).
Fig. 4.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 2b (Drayage – Southern California).
Fig. 5.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 3 (Agricultural).
Fig. 6.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 4a (Construction).
Fig. 7.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 4b (Concrete mixers).
Fig. 8.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 5a (Food distribution).
Fig. 9.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 5b (Beverage distribution).
Fig. 10.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 5c (Local moving).
Fig. 11.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 6 (Airport shuttle).
Fig. 12.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 7 (Refuse).
Fig. 13.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 8a (Urban buses).
Fig. 14.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 8b (Express buses).
Fig. 15.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 9a (Freeway work).
Fig. 16.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 9b (Sweeping).
Fig. 17.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 9c (Municipal work).
Fig. 18.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 9d (Towing).
Fig. 19.
(Top) real-world exhaust temperature distributions and (bottom) engine load distributions of Group 10 (Utility repair).
2. Experimental design, materials, and methods
The research team targeted data from 100 vehicles that are domiciled in the state of California, and designed a vehicle sample matrix that balanced between the number of vocations and the number of vehicles in each vocation. The targeted vehicles are from commonly found vocations that, collectively, represent the majority of the NOx emission inventory of heavy-duty diesel vehicles in California [2]. Due to various reasons, such as not being able to recruit vehicles (or a specific number of vehicles) in some groups, lost data loggers, etc., the final dataset includes 90 vehicle samples in 19 groups defined by a combination of vocational use and geographic region as listed in Table 1.
Table 1.
Information about vehicle samples in each group.
|
Vehicle group |
Engine |
||||||||
|---|---|---|---|---|---|---|---|---|---|
| ID | Name | No. of Flt. | Fleet locationa | No. of veh. | ID | Make | Model | Model year | HP |
| 1a | Line haul - out of state | 1 | North | 3 | 18 | Cummins | ISX15 450 | 2012 | 450 |
| 19 | Cummins | ISX15 450 | 2013 | 450 | |||||
| 20 | Cummins | ISX15 450 | 2014 | 450 | |||||
| 1b | Line haul - in state | 1 | South | 3 | 114 | Detroit Diesel | DD15AT | 2015 | 505 |
| 116 | Detroit Diesel | DD13 | 2015 | 500 | |||||
| 117 | Detroit Diesel | DD13 | 2015 | 500 | |||||
| 2a | Drayage - Northern California | 1 | North | 1 | 99 | Cummins | ISX15 450 | 2012 | 450 |
| 2b | Drayage - Southern California | 1 | South | 5 | 73b | MACK | MP8–415C | 2012 | 415 |
| 75b | MACK | MP8–415C | 2012 | 415 | |||||
| 76b | MACK | MP8–415C | 2012 | 415 | |||||
| 78b | MACK | MP8–415C | 2012 | 415 | |||||
| 79b | Detroit Diesel | Series 60 | 2008 | n/a | |||||
| 3 | Agricultural | 1 | South | 8 | 85b | Paccar | MX | 2010/11 | n/a |
| 86b | Paccar | MX | 2010/11 | n/a | |||||
| 87b | Paccar | MX | 2012 | 455 | |||||
| 88 | Paccar | MX-13 | 2014 | 455 | |||||
| 89b | Mercedez-Benz (Detroit Diesel) | OM 460 LA CID 781 | 2009 | 450 | |||||
| 90b | Mercedez-Benz (Detroit Diesel) | OM 460 LA CID 781 | 2009 | 450 | |||||
| 91 | Paccar | MX-13 | 2014 | 455 | |||||
| 92 | Paccar | MX-13 | 2014 | 455 | |||||
| 4a | Construction | 3 | Both | 6 | 1 | Cummins | ISB6.7 240 | n/a | 240 |
| 55 | Cummins | ISL 300 | n/a | 300 | |||||
| 56 | Cummins | ISL 300 | n/a | 300 | |||||
| 80 | Cummins | ISX15 485 | 2011 | 485 | |||||
| 81 | Cummins | ISX15 550 | 2015 | 550 | |||||
| 82 | Cummins | ISX15 550 | 2015 | 550 | |||||
| 4b | Concrete mixers | 2 | Both | 5 | 83 | Cummins | ISL9 350 | n/a | 350 |
| 84 | Cummins | ISL9 350 | n/a | 350 | |||||
| 111 | Cummins | ISL9 370 | 2013 | 370 | |||||
| 112 | Cummins | ISL9 370 | 2013 | 370 | |||||
| 113 | Cummins | ISL9 370 | 2013 | 370 | |||||
| 5a | Food distribution | 1 | South | 5 | 50 | Detroit Diesel | DD13 | 2013 | 500 |
| 51 | Detroit Diesel | DD13 | 2013 | 500 | |||||
| 52 | Detroit Diesel | DD13 | 2013 | 500 | |||||
| 53 | Detroit Diesel | DD13 | 2013 | 500 | |||||
| 54 | Detroit Diesel | DD13 | 2013 | 500 | |||||
| 5b | Beverage distribution | 1 | South | 6 | 9 | Paccar | PX-9 | 2003 | n/a |
| 10 | Cummins | ISX11.9 370 | 2011 | 370 | |||||
| 13 | Paccar | PX-9 | 2013 | n/a | |||||
| 14 | Paccar | PX-8 | 2012 | n/a | |||||
| 16 | Paccar | PX-9 | 2013 | n/a | |||||
| 17 | Paccar | PX-8 | 2012 | n/a | |||||
| 5c | Local moving | 1 | South | 1 | 49 | Navistar | A410 | 2013 | 410 |
| 6 | Airport shuttle | 1 | North | 5 | 57 | Cummins | ISL | 2012 | n/a |
| 58 | Cummins | ISL | 2012 | n/a | |||||
| 59 | Cummins | ISL | 2012 | n/a | |||||
| 60 | Cummins | ISL | 2012 | n/a | |||||
| 61 | Cummins | ISL | 2012 | n/a | |||||
| 7 | Refuse | 1 | North | 6 | 24 | Cummins | ISL | 2010 | 380 |
| 25 | Cummins | ISL | 2010 | 345 | |||||
| 26 | Unknown | n/a | n/a | n/a | |||||
| 102 | Cummins | ISL | n/a | n/a | |||||
| 103 | Cummins | ISL | 2010 | 380 | |||||
| 104 | Cummins | ISL9 | 2013 | 345 | |||||
| 8a | Urban buses | 1 | North | 6 | 68 | n/a | n/a | n/a | n/a |
| 69 | n/a | n/a | n/a | n/a | |||||
| 70 | n/a | n/a | n/a | n/a | |||||
| 108 | n/a | n/a | n/a | n/a | |||||
| 109 | n/a | n/a | n/a | n/a | |||||
| 110 | n/a | n/a | n/a | n/a | |||||
| 8b | Express buses | 1 | South | 5 | 93b | Cummins | ISL G280 | 2013 | 280 |
| 94b | Cummins | ISL G280 | 2013 | 280 | |||||
| 95b | Cummins | ISL G280 | 2013 | 280 | |||||
| 96b | Cummins | ISL G280 | 2013 | 280 | |||||
| 97b | Cummins | ISL G280 | 2013 | 280 | |||||
| 9a | Freeway work | 1 | Both | 5 | 3 | Cummins | ISB6.7 260 | 2012 | 260 |
| 4 | Cummins | ISB6.7 260 | 2012 | 260 | |||||
| 37 | Cummins | ISB6.7 260 | 2012 | 260 | |||||
| 38 | Cummins | ISB6.7 260 | 2012 | 260 | |||||
| 62 | Cummins | ISB6.7 260 | 2012 | 260 | |||||
| 9b | Sweeping | 1 | Both | 5 | 40 | Cummins | ISB6.7 280 | 2012 | 280 |
| 41 | Cummins | ISB6.7 280 | 2012 | 280 | |||||
| 42 | Cummins | ISB6.7 280 | 2013 | 280 | |||||
| 43 | Cummins | ISB6.7 280 | 2012 | 280 | |||||
| 44 | Cummins | ISB6.7 280 | 2012 | 280 | |||||
| 9c | Municipal work | 1 | South | 3 | 5 | Detroit Diesel | DD13 12.8 | 2010 | 500 |
| 6 | Cummins | ISB6.7 240 | 2010 | 240 | |||||
| 7 | Cummins | ISB6.7 240 | 2010 | 240 | |||||
| 9d | Towing | 2 | Both | 7 | 45 | Cummins | ISX15 550 | 2012 | 550 |
| 46 | Cummins | ISX15 525 | 2014 | 525 | |||||
| 47 | Cummins | ISX15 550 | 2014 | 550 | |||||
| 48 | Paccar | PX-8 | n/a | n/a | |||||
| 105 | Cummins | ISB6.7 260 | 2014 | 260 | |||||
| 106 | Cummins | ISB6.7 280 | 2013 | 280 | |||||
| 107 | Cummins | ISB6.7 281 | 2014 | 280 | |||||
| 10 | Utility repair | 1 | North | 5 | 63 | Detroit Diesel | DD13 | 2012 | 500 |
| 64 | Detroit Diesel | DD13 | 2012 | 500 | |||||
| 65 | Detroit Diesel | DD13 | 2012 | 500 | |||||
| 66 | Detroit Diesel | DD13 | 2012 | 500 | |||||
| 67 | Detroit Diesel | DD13 | 2012 | 500 | |||||
| Total | 24 | 90 | |||||||
North = Northern California; South = Southern California.
No SCR temperature data.
All of the 90 vehicles are either commercial class 7 (GVWR 26,001–33,000 lbs) or class 8 (GVWR >33,000 lbs). All the vehicles run on conventional diesel engines except the six urban buses (diesel hybrid electric) and the five express buses (compressed natural gas). Most of the vehicles have engine model year 2010 or newer and are equipped with SCR. There is a good balance between vehicle samples from both regions of California when considering the overall vehicle samples as a whole, although not every vehicle group includes vehicle samples from both regions of the state.
The data were collected using J1939 Mini LoggerTM, produced by HEM Data, that recorded vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters (including engine load and exhaust temperature) at the frequency of one Hz. The data collection effort spanned from November 2014 to September 2016, but was intermittent depending on when the participating fleets were successfully recruited and when the vehicles and data loggers were available. For each vehicle, the data were collected for a minimum period of one month with many vehicles having data collected for several months.
Acknowledgments
The authors acknowledge funding support from the California Air Resources Board (CARB) under contract number 13-301, and supplementary resources from the US Environmental Protection Agency (EPA) through Cooperative Research and Development Agreement. We are thankful for the contribution of Don Chernich, Mark Burnitski, Kathy Jaw, and Sam Pournazeri, of CARB as well as Don Pacocha, Mark Villela, and Michael Todd of the College of Engineering – Center for Environmental Research and Technology, University of California at Riverside. In addition, the authors acknowledge several anonymous fleets from both public and private sectors for their participation in this research.
Footnotes
Transparency data associated with this article can be found in the online version at doi:10.1016/j.dib.2018.04.044.
Contributor Information
Kanok Boriboonsomsin, Email: kanok@cert.ucr.edu.
Thomas Durbin, Email: durbin@cert.ucr.edu.
George Scora, Email: gscora@cert.ucr.edu.
Kent Johnson, Email: kjohnson@cert.ucr.edu.
Daniel Sandez, Email: dsandez@ece.ucr.edu.
Alexander Vu, Email: alexvu@cert.ucr.edu.
Yu Jiang, Email: yjian009@ucr.edu.
Andrew Burnette, Email: andrew.burnette@infowedge.com.
Seungju Yoon, Email: syoon@arb.ca.gov.
John Collins, Email: john.collins@arb.ca.gov.
Zhen Dai, Email: zhen.dai@arb.ca.gov.
Carl Fulper, Email: Fulper.Carlr@epa.gov.
Sandeep Kishan, Email: Sandeep.Kishan@erg.com.
Michael Sabisch, Email: Michael.Sabisch@erg.com.
Doug Jackson, Email: doug.jackson@erg.com.
Transparency document. Supplementary material
Supplementary material
.
References
- 1.Boriboonsomsin K., Durbin T., Scora G., Johnson K., Sandez D., Vu A., Jiang Y., Burnette A., Yoon S., Collins J., Dai Z., Fulper C., Kishan S., Sabisch M., Jackson D. Real-world exhaust temperature profiles of on-road heavy-duty diesel vehicles equipped with selective catalytic reduction. Sci. Total Environ. 2018;29 doi: 10.1016/j.scitotenv.2018.03.362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.K. Boriboonsomsin, K. Johnson, G. Scora, D. Sandez, A. Vu, T. Durbin, Y. Jiang, A. Burnette, Collection of Activity Data from On-Road Heavy-Duty Diesel Vehicles. Final report prepared for the California Air Resources Board, May, 2017.
Associated Data
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