Samuel Labi

Orcid: 0000-0001-9830-2071

According to our database1, Samuel Labi authored at least 40 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Role of Engineering Ethics in Mitigating Corruption in Infrastructure Systems Delivery.
Sci. Eng. Ethics, August, 2024

Dynamic urban traffic rerouting with fog-cloud reinforcement learning.
Comput. Aided Civ. Infrastructure Eng., March, 2024

Weighted Branch Aggregation Based Deep Learning Model for Track Detection in Autonomous Racing.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information.
CoRR, 2023

Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles.
CoRR, 2023

Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories.
CoRR, 2023

A methodology for scheduling within-day roadway work zones using deep neural networks and active learning.
Comput. Aided Civ. Infrastructure Eng., 2023

Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

LiDAR-based Cooperative Relative Localization.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Scalable Traffic Signal Controls Using Fog-Cloud Based Multiagent Reinforcement Learning.
Comput., 2022

Contract bundling considerations in urban road project scheduling.
Comput. Aided Civ. Infrastructure Eng., 2022

2021
Reason induced visual attention for explainable autonomous driving.
CoRR, 2021

Towards Safer Transportation: a self-supervised learning approach for traffic video deraining.
CoRR, 2021

Using UAVs for vehicle tracking and collision risk assessment at intersections.
CoRR, 2021

Development and testing of an image transformer for explainable autonomous driving systems.
CoRR, 2021

Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV.
CoRR, 2021

Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture.
CoRR, 2021

An influential journal elevating the civil engineering profession and raising its image in the engineering league.
Comput. Aided Civ. Infrastructure Eng., 2021

Graph neural network and reinforcement learning for multi-agent cooperative control of connected autonomous vehicles.
Comput. Aided Civ. Infrastructure Eng., 2021

Methodology for analyzing the trade-offs associated with multi-objective optimization in transportation asset management under uncertainty.
Comput. Aided Civ. Infrastructure Eng., 2021

A Cooperative Crash Avoidance Framework for Autonomous Vehicle under Collision-Imminent Situations in Mixed Traffic Stream.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Image transformer for explainable autonomous driving system.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

GAQ-EBkSP: A DRL-based Urban Traffic Dynamic Rerouting Framework using Fog-Cloud Architecture.
Proceedings of the IEEE International Smart Cities Conference, 2021

2020
Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework.
Eur. J. Oper. Res., 2020

Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization.
CoRR, 2020

A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment.
CoRR, 2020

A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network.
CoRR, 2020

Leveraging the Capabilities of Connected and Autonomous Vehicles and Multi-Agent Reinforcement Learning to Mitigate Highway Bottleneck Congestion.
CoRR, 2020

Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control.
CoRR, 2020

Leveraging Vehicle Connectivity and Autonomy to Stabilize Flow in Mixed Traffic Conditions: Accounting for Human-driven Vehicle Driver Behavioral Heterogeneity and Perception-reaction Time Delay.
CoRR, 2020

Network-level scheduling of road construction projects considering user and business impacts.
Comput. Aided Civ. Infrastructure Eng., 2020

A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information.
Comput. Aided Civ. Infrastructure Eng., 2020

Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
An Integrated Optimization Model for Energy Saving in Metro Operations.
IEEE Trans. Intell. Transp. Syst., 2019

2018
A Methodology to Account for One-Way Infrastructure Interdependency in Preservation Activity Scheduling.
Comput. Aided Civ. Infrastructure Eng., 2018

2017
Predicting Cost Escalation Pathways and Deviation Severities of Infrastructure Projects Using Risk-Based Econometric Models and Monte Carlo Simulation.
Comput. Aided Civ. Infrastructure Eng., 2017

2015
A Hybrid Pareto Frontier Generation Method for Trade-Off Analysis in Transportation Asset Management.
Comput. Aided Civ. Infrastructure Eng., 2015

2014
A Fuzzy Approach for Assessing Transportation Infrastructure Security.
Proceedings of the Complex Systems Design & Management, 2014

2008
Decision support for optimal scheduling of highway pavement preventive maintenance within resurfacing cycle.
Decis. Support Syst., 2008

2007
Optimal Reconstruction Periods for Stochastically Deteriorating Infrastructures.
Comput. Aided Civ. Infrastructure Eng., 2007


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