An improved replanning strategy for congested traffic conditions in MATSim

Procedia Computer Science - Tập 170 - Trang 779-784 - 2020
Christopher Tchervenkov1, Sebastian Hörl1, Milos Balac1, Thibaut Dubernet1, Kay W. Axhausen1
1Institute for Transport Planning and Systems, ETH Zurich, Stefano-Franscini-Platz 5, 8093, Zürich, Switzerland

Tài liệu tham khảo

Adnan, M., F.C. Pereira, C.M.L. Azevedo, K. Basak, M. Lovric, S. Raveau, Y. Zhu, J. Ferreira, C. Zegras and M. Ben-Akiva (2016) SimMobility: A multi-scale integrated agent-based simulation platform, paper presented at the 95th Annual Meeting of the Transportation Research Board Forthcoming in Transportation Research Record, Washington, D.C., January 2016. Auld, 2016, POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations, Transportation Research Part C: Emerging Technologies, 64, 101, 10.1016/j.trc.2015.07.017 Dobler, C. (2010) Implementation of a time step based parallel queue simulation in MATSim, paper presented at the 10th Swiss Transport Research Conference (STRC 2010), Ascona, Switzerland, September 2010. Hörl, 2018, A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim, Procedia Computer Science, 130, 900, 10.1016/j.procs.2018.04.087 Horni, 2016, More about configuring MATSim, 35 Horni, 2016 Hörl, S., M. Balac and K.W. Axhausen (2019) Dynamic demand estimation for an AMoD system in Paris, paper presented at the 2019 IEEE Intelligent Vehicles Symposium (IV), 260–266, Paris, June 2019. Hörl, S., M. Balac and K.W. Axhausen (2019) Pairing discrete mode choice models and agent-based transport simulation with MATSim, paper presented at the 98th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2019. Mallig, 2013, mobiTopp – a modular agent-based travel demand modelling framework, Procedia Computer Science, 19, 854, 10.1016/j.procs.2013.06.114