TY - CHAP
T1 - Evaluation Framework of Next Generation Electric Trucks
AU - Margaritis, Dimitris
AU - Zymelka, Lukasz
AU - Koegeler, Hans Michael
AU - Xanakis, Leo
AU - Naylor, Sophie
AU - Lejona, Victor
AU - Vander Hoogt, Jorden
AU - Rooij, Daanvan
AU - Makazaga, Iban Vicente
AU - Tran, Dai Duong
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - To measure the success of a research and development project and assess its impact, an evaluation methodology has to be established. The proposed methodology in the NextETRUCK project follows best practices in validation and draws on insights from previous support projects such as CONVERGE and FESTA. It outlines a set of research hypotheses and associated goals for different innovation aspects of the project, forming the basis for evaluation. Key elements of this evaluation plan include defining Key Performance Indicators (KPIs). A total of 28 KPIs have been identified, covering areas such as vehicle and charging performance, digital tools, driver/fleet operator experiences, and market/total cost of ownership considerations. These KPIs can be measured during the demonstration and digital twin operations, using both quantitative and qualitative measures. Objective data, subjective evaluations, and inputs such as vehicle data, questionnaires, and driver interviews can all contribute to the assessment. The evaluation plan takes a structured approach, detailing each KPI’s description, assessment methods, parameters, and necessary information to address potential risks and challenges during the evaluation phase.
AB - To measure the success of a research and development project and assess its impact, an evaluation methodology has to be established. The proposed methodology in the NextETRUCK project follows best practices in validation and draws on insights from previous support projects such as CONVERGE and FESTA. It outlines a set of research hypotheses and associated goals for different innovation aspects of the project, forming the basis for evaluation. Key elements of this evaluation plan include defining Key Performance Indicators (KPIs). A total of 28 KPIs have been identified, covering areas such as vehicle and charging performance, digital tools, driver/fleet operator experiences, and market/total cost of ownership considerations. These KPIs can be measured during the demonstration and digital twin operations, using both quantitative and qualitative measures. Objective data, subjective evaluations, and inputs such as vehicle data, questionnaires, and driver interviews can all contribute to the assessment. The evaluation plan takes a structured approach, detailing each KPI’s description, assessment methods, parameters, and necessary information to address potential risks and challenges during the evaluation phase.
KW - Electric Trucks
KW - Impact Assessment
KW - Key Performance Indicators (KPIs)
KW - Vehicle Evaluation
UR - https://www.scopus.com/pages/publications/105000446422
U2 - 10.1007/978-3-031-82818-8_50
DO - 10.1007/978-3-031-82818-8_50
M3 - Chapter
AN - SCOPUS:105000446422
T3 - Lecture Notes in Intelligent Transportation and Infrastructure
SP - 666
EP - 682
BT - Lecture Notes in Intelligent Transportation and Infrastructure
PB - Springer Nature
ER -