NUMBER OF VEHICLES AND TRAVEL TIME ESTIMATION ON URBAN TRAFFIC NETWORK USING BAYESIAN NETWORK MODEL AND PARTICLE FILTERING METHOD
<p align="justify">Travel time is one of the key variables that reflect the performance of a traffic system. The travel time is affected by the interaction between traffic demand (the number of incoming vehicles) and the characteristics of traffic supply (such as road capacity, traff...
Saved in:
Main Author: | SAMUDRA KUSWANA NIM: 23815001, GILANG |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/27528 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Travel time estimation on road networks : effective embedding and traffic condition representation learning
by: Yang, Jingyi
Published: (2021) -
MODELING TRAVEL TIME UNCERTAINTYIN TRAFFIC NETWORK MODELS
by: CHEN DAIZHUO
Published: (2019) -
STUDY OF REDUCING THE NUMBER OF TRAFFIC SENSORS IN THE ESTIMATION OF TRAFFIC FLOWS USING GRAPH NEURAL NETWORK
by: Putri, Adiyana -
Real time visual traffic map for vehicle density estimation using IP-CCTV networks
by: Bautista, John Carl B., et al.
Published: (2021) -
Development of real-time traffic state and travel time estimation for travel time predicton
by: Piti Rotwannasin
Published: (2013)