A SPATIO-TEMPORAL NEURAL NETWORK APPROACH FOR PREDICTING TRAFFIC ACCIDENT HOTSPOT AREAS: A CASE STUDY IN BANDUNG CITY
Traffic accidents are the most significant cause of human death after disease, with the majority of victims being of productive age. In order to decrease the number of traffic accidents, it is crucial to identify where and when they occur most frequently. Previous research stated that the Support...
Saved in:
Main Author: | Wiwit Nugroho, Hermawan |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/79485 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Spatio-temporal analysis and prediction of cellular traffic in metropolis
by: WANG, Xu, et al.
Published: (2019) -
Spatio-temporal analysis and prediction of cellular traffic in metropolis
by: WANG, Xu, et al.
Published: (2017) -
Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao province, Thailand
by: Phaisarn Jeefoo, et al.
Published: (2018) -
Spatio-temporal analysis of traffic incidents and their effect on speed
by: Saha Liza
Published: (2016) -
PREDICTIVE MODEL FOR EARLY WARNING SYSTEM FOR HOTSPOT OCCURRENCE UTILIZING SPATIO-TEMPORAL AND PROBIT REGRESSION MODEL BASED ON PEATLAND CHARACTERISTICS AND PRECIPITATION
by: Caesar Suherlan, Bagas