Simulation of Urban Mobility

By Michael Behrisch, Daniel Krajzewicz, Ronald Nippold, Yun-Pang Wang. Lecture Notes in Computer Science, 2013

301 citations recorded by the source corpus.

Subfields: Automotive Engineering, Civil and Structural Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/cb95f30f14c6253e96b57cf5446a722a47cfd0a0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Krzysztof Czarnecki

In Civil and Structural Engineering

1. Krzysztof Czarnecki

In Transportation

1. Krzysztof Czarnecki

Citations in the corpus

• Urban Driving with Multi-Objective Deep Reinforcement Learning (2018, methodology): “kinhigherlayers. objective. Since the agent utilizes a single scene to learn multiple aspects within the scene, better data efficiency can be expected. 5 EXPERIMENT SUMO (Simulation of Urban Mobility [2]) traffic simulator is used as the simulation environment for our experiment. We wrote a RL inter”