Day 23 EV navigation

时间:2021-7-20 作者:qvyue

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles

Thought: energy efficiency is a problem for only EVs. What’s the special point?

Contributions:

1. a Bayesian approach  to  model  the  energy  consumption  at  road segments

2. an  online learning framework and investigate several exploration  strategies  such  as  Thompson  Sampling and  Upper  Confidence  Bound

3. extend our online learning framework to multi-agent setting

4. real-world experiments on Luxembourg SUMO Traffic dataset

Thompson Sampling (TS)

also called posterior  sampling and probability  matching

Upper Confidence Bound (UCB)

another approach used widely for exploration-exploitation trade-off

used by AlphaZero

energy consumption Model

model the non-negative edge weights by (conjugate) Log-Gaussian likelihood and prior distributions

this model is compared with the normal Gaussian model

Online learning

start from estimation of model parameters

solve the problem with multi-armed bandit problem

return the actual travel time to update parameters

Note:

The energy consumption model is useful

The dataset is potential to use.

声明:本文内容由互联网用户自发贡献自行上传,本网站不拥有所有权,未作人工编辑处理,也不承担相关法律责任。如果您发现有涉嫌版权的内容,欢迎发送邮件至:qvyue@qq.com 进行举报,并提供相关证据,工作人员会在5个工作日内联系你,一经查实,本站将立刻删除涉嫌侵权内容。