Search Results - "Parsa, Amir Bahador"

Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis by Parsa, Amir Bahador, Movahedi, Ali, Taghipour, Homa, Derrible, Sybil, Mohammadian, Abolfazl (Kouros)

“…•Develop an XGBoost model to detect accidents with detection rate of 79 %, and AUC of 89 %.•The developed model is robust and interpretable thanks to…”
Get full text

Interrelationships between urban travel demand and electricity consumption: a deep learning approach by Movahedi, Ali, Parsa, Amir Bahador, Rozhkov, Anton, Lee, Dongwoo, Mohammadian, Abolfazl Kouros, Derrible, Sybil

“…The analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between…”
Get full text

A dynamic approach to predict travel time in real time using data driven techniques and comprehensive data sources by Taghipour, Homa, Parsa, Amir Bahador, Mohammadian, Abolfazl (Kouros)

“…•Dynamic travel time prediction improves the snapshot prediction accuracy by 4%.•Integration of data driven techniques and comprehensive data sources improves…”
Get full text

A novel deep ensemble based approach to detect crashes using sequential traffic data by Taghipour, Homa, Parsa, Amir Bahador, Chauhan, Rishabh Singh, Derrible, Sybil, Mohammadian, Abolfazl (Kouros)

“…Crash is one of the leading causes of death in the United States. Real time detection of crashes plays a pivotal role in increasing safety of highways. In this…”
Get full text

Survival analysis for motorcycle usage time in work-tours by Amir Bahador Parsa, Arsham Bakhtiari, Meeghat Habibian, Abolfazl (Kouros) Mohammadian

“…The aim of this paper is to identify effective factors on motorcycle usage time in work-tours. To do so, a survey on motorcyclists whose workplaces are in the…”
Get full text

A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines by Javadinasr, Mohammadjavad, Parsa, Amir Bahador, Abolfazl, Mohammadian

“…Different passenger demand rates in transit stations underscore the importance of adopting operational strategies to provide a demand-responsive service…”
Get full text

Real-time accident detection: Coping with imbalanced data by Parsa, Amir Bahador, Taghipour, Homa, Derrible, Sybil, Mohammadian, Abolfazl (Kouros)

“…•SMOTH performs well on accident/non-accident highly imbalanced data.•Abrupt change in speed is an important sign of accident occurrence.•Feature engineering…”
Get full text

Traffic Modeling and Management, Innovative Data and Methods by Parsa, Amir Bahador

“…In this dissertation, the main objective is to propose innovative data and methods to model and improve traffic operation and management in three directions:…”
Get full text

Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data by Parsa, Amir Bahador, Chauhan, Rishabh Singh, Taghipour, Homa, Derrible, Sybil, Mohammadian, Abolfazl

“…Accident detection is a vital part of traffic safety. Many road users suffer from traffic accidents, as well as their consequences such as delay, congestion,…”
Get full text