research
∙
08/14/2023
Artificial Intelligence for Smart Transportation
There are more than 7,000 public transit agencies in the U.S. (and many ...
share
research
∙
03/06/2023
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
The offline pickup and delivery problem with time windows (PDPTW) is a c...
research
∙
02/17/2023
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning
The Distributed Messaging Systems (DMSs) used in IoT systems require tim...
research
∙
12/22/2022
Designing Equitable Transit Networks
Public transit is an essential infrastructure enabling access to employm...
research
∙
10/10/2022
On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data
The ability to accurately predict public transit ridership demand benefi...
research
∙
06/28/2022
Generative Anomaly Detection for Time Series Datasets
Traffic congestion anomaly detection is of paramount importance in intel...
research
∙
05/24/2022
Syntheto: A Surface Language for APT and ACL2
Syntheto is a surface language for carrying out formally verified progra...
research
∙
04/28/2022
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
More than 5 million children under five years die from largely preventab...
research
∙
04/25/2022
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
Vehicle routing problems (VRPs) can be divided into two major categories...
research
∙
03/28/2022
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services
Many transit agencies operating paratransit and microtransit services ha...
research
∙
02/28/2022
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems
Autonomous Cyber-Physical Systems must often operate under uncertainties...
research
∙
02/25/2022
Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search
Decision-making under uncertainty (DMU) is present in many important pro...
research
∙
02/23/2022
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
Designing effective emergency response management (ERM) systems to respo...
research
∙
12/03/2021
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
Emergency response is highly dependent on the time of incident reporting...
research
∙
08/26/2021
Efficient Out-of-Distribution Detection Using Latent Space of β-VAE for Cyber-Physical Systems
Deep Neural Networks are actively being used in the design of autonomous...
research
∙
07/12/2021
Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire
Power grid operation subject to an extreme event requires decision-makin...
research
∙
07/02/2021
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities
Resource allocation under uncertainty is a classical problem in city-sca...
research
∙
06/15/2021
Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems
Principled decision making in emergency response management necessitates...
research
∙
03/25/2021
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
Deep Neural Networks (DNNs) are popularly used for implementing autonomy...
research
∙
02/18/2021
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems
Autonomous CPSs are often required to handle uncertainties and self-mana...
research
∙
01/22/2021
Efficient Data Management for Intelligent Urban Mobility Systems
Modern intelligent urban mobility applications are underpinned by large-...
research
∙
12/24/2020
Hierarchical Planning for Resource Allocation in Emergency Response Systems
A classical problem in city-scale cyber-physical systems (CPS) is resour...
research
∙
11/10/2020
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion
The number of emergencies have increased over the years with the growth ...
research
∙
10/15/2020
Designing Emergency Response Pipelines : Lessons and Challenges
Emergency response to incidents such as accidents, crimes, and fires is ...
research
∙
08/06/2020
Impact of COVID-19 on Public Transit Accessibility and Ridership
Public transit is central to cultivating equitable communities. Meanwhil...
research
∙
06/07/2020
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models
Emergency response to incidents such as roadway accidents is one of the ...
research
∙
05/23/2020
Mechanisms for Outsourcing Computation via a Decentralized Market
As the number of personal computing and IoT devices grows rapidly, so do...
research
∙
04/13/2020
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
Deep Learning (DL) model-based AI services are increasingly offered in a...
research
∙
04/12/2020
Workflow Automation for Cyber Physical System Development Processes
Development of Cyber Physical Systems (CPSs) requires close interaction ...
research
∙
04/10/2020
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Public transit can have significantly lower environmental impact than pe...
research
∙
04/10/2020
Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets
Due to increasing concerns about environmental impact, operating costs, ...
research
∙
03/11/2020
A Methodology for Automating Assurance Case Generation
Safety Case has become an integral component for safety-certification in...
research
∙
01/21/2020
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
Emergency Response Management (ERM) is a critical problem faced by commu...
research
∙
11/30/2019
Data-Driven Optimization of Public Transit Schedule
Bus transit systems are the backbone of public transportation in the Uni...
research
∙
10/11/2019
Safe and Private Forward-Trading Platform for Transactive Microgrids
Transactive microgrids have emerged as a transformative solution for the...
research
∙
02/21/2019
An Online Decision-Theoretic Pipeline for Responder Dispatch
The problem of dispatching emergency responders to service traffic accid...
research
∙
02/06/2019
Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots
This paper deals with resource constrained autonomous robots commonly fo...
research
∙
01/04/2019
VeriSolid: Correct-by-Design Smart Contracts for Ethereum
The adoption of blockchain based distributed ledgers is growing fast due...
research
∙
10/21/2018
A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks
With the advent of pervasive cloud computing technologies, service relia...
research
∙
04/22/2018
SolidWorx: A Resilient and Trustworthy Transactive Platform for Smart and Connected Communities
Internet of Things and data sciences are fueling the development of inno...
research
∙
02/27/2018
Towards a Socially Optimal Multi-Modal Routing Platform
The increasing rate of urbanization has added pressure on the already co...
research
∙
01/30/2018
DxNAT - Deep Neural Networks for Explaining Non-Recurring Traffic Congestion
Non-recurring traffic congestion is caused by temporary disruptions, suc...
research
∙
02/08/2017
