Travel time prediction using LSTM
The aim of the research is to predict the time it will take for a vehicle to travel across a stretch of road. This prediction will be useful for autonomous cars to estimate the travel times in multiple roads and to choose the fastest route possible thereby reducing congestion in traffic as well a...
Saved in:
Main Author: | Narayanan Aakash Kumar |
---|---|
Other Authors: | Justin Dauwels |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78673 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Travel time prediction using random forest
by: Pranesh, Chaitra
Published: (2019) -
Air quality health index prediction based on hybrid CNN+LSTM model
by: Zhang, Shilin
Published: (2022) -
Transient Stability Detection Using CNN-LSTM Considering Time Frame of Observation
by: Azhar, I.F., et al.
Published: (2021) -
Methods for real time prediction and visualization of traffic using smartphones
by: Narayanan, Aditya
Published: (2016) -
Wind/solar power forecasting using improved LSTM neural networks
by: Liu, Shixian
Published: (2019)