71 citations · 101 across the 8 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.SP2019★ 1 cited
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion
Hao Zhou, Jorge Laval, Anye Zhou +4
Self-driving technology companies and the research community are accelerating their pace to use machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs). T…
cs.AI2019★ 9 cited
Large-scale traffic signal control using machine learning: some traffic flow considerations
Jorge A. Laval, Hao Zhou
This paper uses supervised learning, random search and deep reinforcement learning (DRL) methods to control large signalized intersection networks. The traffic model is Cellular Au…
math.AP2019★ 15 cited
A Continuum Model for Cities Based on the Macroscopic Fundamental Diagram: a Semi-Lagrangian Solution Method
Rafegh Aghamohammadi, Jorge A. Laval
This paper presents a formulation of the reactive dynamic user equilibrium problem in continuum form using a network-level Macroscopic Fundamental Diagram (MFD). Compared to existi…