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Characterizing ILKATBO trigger detection in Volvo Trucks using XGBoost and SHAPLEY values

Palmstierna, Dag LU and Stålhandske, Hampus LU (2026) In Bachelor’s Theses in Mathematical Sciences FMSL01 20261
Mathematical Statistics
Abstract
This thesis examines how ILKATBO trigger frequency varies across the Volvo truck fleet and which operating conditions and vehicle characteristics are associated with elevated trigger behavior. Using logged vehicle data, trigger rate was analyzed at fleet level and within different driving-condition subsets. The results show that trigger behavior is systematic rather than random. At fleet level, road condition is the most important factor, with rougher driving environments associated with higher trigger frequency, while altitude and temperature also show clear associations. Some vehicle-configuration effects appear consistently across conditions, particularly for front axle load, while others seem more closely tied to regional or... (More)
This thesis examines how ILKATBO trigger frequency varies across the Volvo truck fleet and which operating conditions and vehicle characteristics are associated with elevated trigger behavior. Using logged vehicle data, trigger rate was analyzed at fleet level and within different driving-condition subsets. The results show that trigger behavior is systematic rather than random. At fleet level, road condition is the most important factor, with rougher driving environments associated with higher trigger frequency, while altitude and temperature also show clear associations. Some vehicle-configuration effects appear consistently across conditions, particularly for front axle load, while others seem more closely tied to regional or operational clusters. Overall, the study shows that ILKATBO trigger frequency is concentrated in identifiable parts of the fleet and that both operating environment and vehicle setup contribute to that variation. Results describe vehicles at the extremes of the trigger rate distribution and do not necessarily characterize the full fleet. (Less)
Please use this url to cite or link to this publication:
author
Palmstierna, Dag LU and Stålhandske, Hampus LU
supervisor
organization
course
FMSL01 20261
year
type
M2 - Bachelor Degree
subject
publication/series
Bachelor’s Theses in Mathematical Sciences
report number
LUNFMS-4020-2026
ISSN
1654-6229
other publication id
2026:K15
language
English
id
9240947
date added to LUP
2026-06-18 17:41:29
date last changed
2026-06-18 17:41:29
@misc{9240947,
  abstract     = {{This thesis examines how ILKATBO trigger frequency varies across the Volvo truck fleet and which operating conditions and vehicle characteristics are associated with elevated trigger behavior. Using logged vehicle data, trigger rate was analyzed at fleet level and within different driving-condition subsets. The results show that trigger behavior is systematic rather than random. At fleet level, road condition is the most important factor, with rougher driving environments associated with higher trigger frequency, while altitude and temperature also show clear associations. Some vehicle-configuration effects appear consistently across conditions, particularly for front axle load, while others seem more closely tied to regional or operational clusters. Overall, the study shows that ILKATBO trigger frequency is concentrated in identifiable parts of the fleet and that both operating environment and vehicle setup contribute to that variation. Results describe vehicles at the extremes of the trigger rate distribution and do not necessarily characterize the full fleet.}},
  author       = {{Palmstierna, Dag and Stålhandske, Hampus}},
  issn         = {{1654-6229}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Bachelor’s Theses in Mathematical Sciences}},
  title        = {{Characterizing ILKATBO trigger detection in Volvo Trucks using XGBoost and SHAPLEY values}},
  year         = {{2026}},
}