Fast-Forwarding of Vehicle Clusters in Microscopic Traffic Simulations-Reference-Cited by-同舟云学术

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Fast-Forwarding of Vehicle Clusters in Microscopic Traffic Simulations

Published:2020-06-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
language:
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Author:

Andelfinger Philipp¹,Eckhoff David²,Cai Wentong³,Knoll Alois⁴

Affiliation:

1. TUMCREATE Ltd and Nanyang Technological University, Singapore, Singapore

2. TUMCREATE Ltd and Technische Universität München, Singapore, Singapore

3. Nanyang Technological University, Singapore, Singapore

4. Technische Universität München and Nanyang Technological University, Garching b. München, Singapore

Funder

National Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3384441.3395975

Reference12 articles.

1. Fast-Forwarding Agent States to Accelerate Microscopic Traffic Simulations

2. Mixing Microscopic and Macroscopic Representations of Traffic Flow: Hybrid Model Based on Lighthill–Whitham–Richards Theory

3. Hybrid Mesoscopic–Microscopic Traffic Simulation

4. Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting

5. Arne Kesting Martin Treiber and Dirk Helbing. 2007. General Lane-changing Model MOBIL for Car-following Models. Transportation Research Record: Journal of the Transportation Research Board(2007) 86--94. Arne Kesting Martin Treiber and Dirk Helbing. 2007. General Lane-changing Model MOBIL for Car-following Models. Transportation Research Record: Journal of the Transportation Research Board(2007) 86--94.

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