Consideration of dynamic traffic conditions in the estimation of industrial vehicules energy consumption while integrating driving assistance strategies

Abstract : The industrial world, and in particular the automotive industry, is seeking to best represent the real world in order to design tools and products that are best adapted to current challenges and markets, by reducing development times and prototyping costs. With this in mind, the Volvo Group has developed powerful tools to simulate the dynamics of industrial vehicles. These tools allow the optimization of vehicle components or control strategies. Many research activities focus on innovative technologies to reduce the consumption of industrial vehicles and increase the safety of their use in different environments. Particularly, the development of ITS and ADAS is booming. In order to be able to develop these systems, a simulation environment must be set up to take into account the various factors that can influence the driving of a vehicle. The work focuses on simulating the vehicle environment and the interactions between the vehicle and its direct environment, i.e. the vehicle in front of it. The interactions between the vehicle under study and the vehicle in front of it are modelled using mathematical models, called car-following models. Many models exist in the literature, but few of them deals specifically with heavy duty vehicles. A specific focus on these models and their calibration is realized. The vehicle environment can be represented by two categories of parameters: static (intersections, number of lanes) and dynamic parameters (state of the network). From a database of usuals roads, these parameters are computed, then, they are used to automatically generate realist traffic simulation scenarios.
Complete list of metadatas

Cited literature [125 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02288108
Contributor : Abes Star <>
Submitted on : Friday, September 13, 2019 - 5:54:06 PM
Last modification on : Saturday, September 14, 2019 - 1:24:09 AM

File

Cattin_PhD_thesis_2019.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02288108, version 1

Collections

Citation

Johana Cattin. Consideration of dynamic traffic conditions in the estimation of industrial vehicules energy consumption while integrating driving assistance strategies. Infrastructures de transport. Université de Lyon, 2019. English. ⟨NNT : 2019LYSET003⟩. ⟨tel-02288108⟩

Share

Metrics

Record views

274

Files downloads

118