Incentive Design for Eco-driving in Urban Transportation Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Niazi, M. Umar B., Cho, Jung-Hoon, Dahleh, Munther A., Dong, Roy, Wu, Cathy |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation
by: Niazi, M. Umar B., et al.
Published: (2024)
by: Niazi, M. Umar B., et al.
Published: (2024)
Mitigating Information Asymmetry in Two-Stage Contracts with Non-Myopic Agents
by: Dahleh, Munther A., et al.
Published: (2024)
by: Dahleh, Munther A., et al.
Published: (2024)
Compositional Online Learning for Multi-Objective System Co-Design
by: Alharbi, Meshal, et al.
Published: (2026)
by: Alharbi, Meshal, et al.
Published: (2026)
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
by: Kühne, Marino, et al.
Published: (2025)
by: Kühne, Marino, et al.
Published: (2025)
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
by: Raghavan, Aneesh, et al.
Published: (2025)
by: Raghavan, Aneesh, et al.
Published: (2025)
Transmission Neural Networks: Approximation and Optimal Control
by: Gao, Shuang, et al.
Published: (2025)
by: Gao, Shuang, et al.
Published: (2025)
Secure Set-based State Estimation for Safety-Critical Applications under Adversarial Attacks on Sensors
by: Niazi, M. Umar B., et al.
Published: (2023)
by: Niazi, M. Umar B., et al.
Published: (2023)
How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
Incentive-Aware Models of Financial Networks
by: Jalan, Akhil, et al.
Published: (2022)
by: Jalan, Akhil, et al.
Published: (2022)
Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks
by: Tang, Jennifer, et al.
Published: (2023)
by: Tang, Jennifer, et al.
Published: (2023)
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
by: Alharbi, Meshal, et al.
Published: (2023)
by: Alharbi, Meshal, et al.
Published: (2023)
Estimating True Beliefs in Opinion Dynamics with Social Pressure
by: Tang, Jennifer, et al.
Published: (2023)
by: Tang, Jennifer, et al.
Published: (2023)
Distributed Target Tracking based on Localization with Linear Time-Difference-of-Arrival Measurements: A Delay-Tolerant Networked Estimation Approach
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates
by: Ruan, Grant, et al.
Published: (2025)
by: Ruan, Grant, et al.
Published: (2025)
Learning clusters of partially observed linear dynamical systems
by: Rui, Maryann, et al.
Published: (2025)
by: Rui, Maryann, et al.
Published: (2025)
Backcasting the Optimal Decisions in Transport Systems: An Example with Electric Vehicle Purchase Incentives
by: Lakshmanan, Vinith, et al.
Published: (2025)
by: Lakshmanan, Vinith, et al.
Published: (2025)
Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
by: Samanta, Sukanya
Published: (2025)
by: Samanta, Sukanya
Published: (2025)
Design of Transit-Centric Multimodal Urban Mobility System with Autonomous Mobility-on-Demand
by: Guo, Xiaotong, et al.
Published: (2024)
by: Guo, Xiaotong, et al.
Published: (2024)
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
by: Rui, Maryann, et al.
Published: (2024)
by: Rui, Maryann, et al.
Published: (2024)
Backcasting Policies in Transport Systems as an Optimal Control Problem : An Example with Electric Vehicle Purchase Incentives
by: Lakshmanan, Vinith, et al.
Published: (2025)
by: Lakshmanan, Vinith, et al.
Published: (2025)
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
by: Zhou, Tianyue, et al.
Published: (2024)
by: Zhou, Tianyue, et al.
Published: (2024)
How to Maximize Efficiency in Systems with Exhausted Workers
by: Sariisik, Elif Beray, et al.
Published: (2025)
by: Sariisik, Elif Beray, et al.
Published: (2025)
Congestion Reduction in EV Charger Placement Using Traffic Equilibrium Models
by: Kara, Semih, et al.
Published: (2025)
by: Kara, Semih, et al.
Published: (2025)
Structural Controllability of Large-Scale Hypergraphs
by: Pickard, Joshua, et al.
Published: (2026)
by: Pickard, Joshua, et al.
Published: (2026)
Impact of Clustering on the Observability and Controllability of Complex Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2026)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2026)
Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)
Classification-Based Opinion Formation Model Embedding Agents' Psychological Traits
by: Devia, Carlos Andres, et al.
Published: (2022)
by: Devia, Carlos Andres, et al.
Published: (2022)
Belief Samples Are All You Need For Social Learning
by: JafariNodeh, Mahyar, et al.
Published: (2024)
by: JafariNodeh, Mahyar, et al.
Published: (2024)
Equilibria in Network Constrained Markets with System Operator
by: Como, Giacomo, et al.
Published: (2024)
by: Como, Giacomo, et al.
Published: (2024)
Optimal and $H_\infty$ Control of Stochastic Reaction Networks
by: Briat, Corentin, et al.
Published: (2021)
by: Briat, Corentin, et al.
Published: (2021)
Realizing Reduced and Sparse Biochemical Reaction Networks from Dynamics
by: Filo, Maurice, et al.
Published: (2025)
by: Filo, Maurice, et al.
Published: (2025)
Cost-Aware Distributed Online Learning with Strict Rejection Behavior against Adversarial Agents
by: Suo, Yuhan, et al.
Published: (2024)
by: Suo, Yuhan, et al.
Published: (2024)
Dynamic Incentive Selection for Hierarchical Convex Model Predictive Control
by: Thirugnanam, Akshay, et al.
Published: (2025)
by: Thirugnanam, Akshay, et al.
Published: (2025)
Harnessing Information in Incentive Design
by: Velicheti, Raj Kiriti, et al.
Published: (2025)
by: Velicheti, Raj Kiriti, et al.
Published: (2025)
Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents
by: Fabiani, Filippo, et al.
Published: (2023)
by: Fabiani, Filippo, et al.
Published: (2023)
Co-Optimization of EV Charging Control and Incentivization for Enhanced Power System Stability
by: Podder, Amit Kumer, et al.
Published: (2024)
by: Podder, Amit Kumer, et al.
Published: (2024)
Adaptive Incentive Design with Regret Minimization
by: Vasileiou, Georgios, et al.
Published: (2026)
by: Vasileiou, Georgios, et al.
Published: (2026)
Uplink resource allocation optimization for user-centric cell-free MIMO networks
by: Li, Zehua, et al.
Published: (2024)
by: Li, Zehua, et al.
Published: (2024)
Decentralized Uplink Adaptive Compression for Cell-Free MIMO with Limited Fronthaul
by: Li, Zehua, et al.
Published: (2025)
by: Li, Zehua, et al.
Published: (2025)
Reactive power flow optimization in AC drive systems
by: Chandrasekaran, Sanjay, et al.
Published: (2025)
by: Chandrasekaran, Sanjay, et al.
Published: (2025)
Similar Items
-
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation
by: Niazi, M. Umar B., et al.
Published: (2024) -
Mitigating Information Asymmetry in Two-Stage Contracts with Non-Myopic Agents
by: Dahleh, Munther A., et al.
Published: (2024) -
Compositional Online Learning for Multi-Objective System Co-Design
by: Alharbi, Meshal, et al.
Published: (2026) -
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
by: Kühne, Marino, et al.
Published: (2025) -
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
by: Raghavan, Aneesh, et al.
Published: (2025)