NDLI: Research on the influence factors of real driving cycle with statistical analysis and dynamic time warping

Content Provider	IET Digital Library
Author	Yu, Shu Lü, Lin
Abstract	The real driving cycle (RDC), which aims to reflect the real driving behaviour of vehicles, plays an important role in evaluating the performance or pollution of vehicles. At present, the related researches most focus on developing RDCs of different functions or regions, while the influence factors and the rules of RDC construction are not involved. In this study, through statistical analysis and theoretical analysis of RDC construction process, the influence factors of candidate RDC are explored. These factors include statistical characteristics, common factors number, cluster number, number selection principle, and order principle. A different value of factors means a different candidate RDC and different proximity of RDCs to the real driving data. Through the dynamic time warping index, the proximity of candidate RDCs is calculated, then the factors rules and the optimum RDC are obtained. When the slope is added as one statistical characteristic, the common factors number is set as 5, the cluster number is set as 6, the number selection principle is set as ratio principle, and order principle chooses positive sequence, the candidate RDC is the optimal cycle which is closest to the real vehicles driving conditions.
Starting Page	286
Ending Page	292
Page Count	7
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 2, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5275
Journal	IET Intelligent Transport Systems
Publisher Date	2018-10-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cluster Number Common Factors Number Driving Behaviour Driving Cycle Driving Data Dynamic Time Factors Rules Influence Factors Number Selection Principle Optimal Cycle Optimum RDC Order Principle RDC Construction Process Real Vehicle Driving Condition Statistical Analysis Statistical Characteristic Statistics Vehicle Dynamics Vehicle Mechanics
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fuel Cell Electric Vehicle (FCEV) Energy Flow Analysis in Real Driving Conditions (RDC)

Freeway Driving Cycle Construction Based on Real-Time Traffic Information and Global Optimal Energy Management for Plug-In Hybrid Electric Vehicles

Particle Swarm Optimization and Real-Road/Driving-Cycle Analysis Based Powertrain System Design for Dual Motor Coupling Electric Vehicle

Real-time speed profile calculation for fuel saving considering unforeseen situations and travel time

Dynamic platoon dispersion model based on real-time link travel time

Hierarchical quantitative analysis to evaluate unsafe driving behaviour from massive trajectory data

Influence of hybridisation on eco-driving habits using realistic driving cycles

Driving Cycles for Estimating Vehicle Emission Levels and Energy Consumption

Identifying factors affecting drivers’ selection of unconventional outside left-turn lanes at signallised intersections

Research on the influence factors of real driving cycle with statistical analysis and dynamic time warping

Similar Documents

Fuel Cell Electric Vehicle (FCEV) Energy Flow Analysis in Real Driving Conditions (RDC)

Freeway Driving Cycle Construction Based on Real-Time Traffic Information and Global Optimal Energy Management for Plug-In Hybrid Electric Vehicles

Particle Swarm Optimization and Real-Road/Driving-Cycle Analysis Based Powertrain System Design for Dual Motor Coupling Electric Vehicle

Real-time speed profile calculation for fuel saving considering unforeseen situations and travel time

Dynamic platoon dispersion model based on real-time link travel time

Hierarchical quantitative analysis to evaluate unsafe driving behaviour from massive trajectory data

Influence of hybridisation on eco-driving habits using realistic driving cycles

Driving Cycles for Estimating Vehicle Emission Levels and Energy Consumption

Identifying factors affecting drivers’ selection of unconventional outside left-turn lanes at signallised intersections

Research on the influence factors of real driving cycle with statistical analysis and dynamic time warping