activity
20162023
most citedEMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System

89 citations · 175 across the 25 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

eess.SY2019★ 2 cited

Security Risk Analysis of the Shorter-Queue Routing Policy for Two Symmetric Servers

Yu Tang, Yining Wen, Li Jin

In this article, we study the classical shortest queue problem under the influence of malicious attacks, which is relevant to a variety of engineering system including transportati…

eess.SY2019

Resilience of Dynamic Routing in the Face of Recurrent and Random Sensing Faults

Qian Xie, Li Jin

Feedback dynamic routing is a commonly used control strategy in transportation systems. This class of control strategies relies on real-time information about the traffic state in…

eess.SY2019★ 2 cited

Evaluation of Headway Threshold-based Coordinated Platooning over a Cascade of Highway Junctions

Xi Xiong, Teze Wang, Li Jin

Platooning of vehicles with coordinated adaptive cruise control (CACC) capabilities is a promising technology with a strong potential for fuel savings and congestion mitigation. Al…

math.OC2019

Coordinating Vehicle Platoons for Highway Bottleneck Decongestion and Throughput Improvement

Mladen Čičić, Li Jin, Karl Henrik Johansson

Truck platooning is a technology that is expected to become widespread in the coming years. Apart from the numerous benefits that it brings, its potential effects on the overall tr…

math.OC2019★ 4 cited

Analyzing a Tandem Fluid Queueing Model with Stochastic Capacity and Spillback

Li Jin, Saurabh Amin

The tandem fluid queueing model is a useful tool for performance analysis and control design for a variety of transportation systems. In this article, we study the joint impact of…

eess.SY2019★ 3 cited

Resilient UAV Traffic Congestion Control using Fluid Queuing Models

Jiazhen Zhou, Li Jin, Dengfeng Sun

In this paper, we address the issue of congestion in future Unmanned Aerial Vehicle (UAVs) traffic system in uncertain weather. We treat the traffic of UAVs as fluid queues, and in…