MODELLING LANE CHANGING AND MERGING IN MICROSCOPIC TRAFFIC SIMULATION

By P. Hidas. 2002

529 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/67bca92910116589a3ff05902217f0d12d22dbc5

How researchers see this paper

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

In Building and Construction

1. Dirk Helbing
2. Arne Kesting
3. Martin Treiber
4. Harry H. Cheng
5. W. Jin
6. Chris M. J. Tampère
7. Boris S. Kerner

In Control and Systems Engineering

1. Arne Kesting
2. Martin Treiber
3. Dirk Helbing
4. W. Jin
5. Harry H. Cheng
6. Zuduo Zheng
7. Mohammad Saifuzzaman
8. Chris M. J. Tampère

In Transportation

1. Arne Kesting
2. Martin Treiber
3. Dirk Helbing
4. W. Jin
5. Harry H. Cheng
6. Szilárd Aradi
7. Hani S. Mahmassani
8. Mohammad Saifuzzaman

Citations in the corpus

• A Review of the Applications of Agent Technology in Traffic and Transportation Systems (2010, background): “Personal agents for each individual traveler communicate with the driver and the system to provide optimal advice to the traveler and update stored traffic information in the system.”
• Delays, inaccuracies and anticipation in microscopic traffic models (2004, background): “Imperfect estimation capabilities often serve as motivation or justification to introduce stochastic terms into micromodels such as the Gipps model [25] (see also [1,26]).”
• A kinematic wave theory of multi-commodity network traffic flow (2012, background): “In traffic operation studies, numerous simulators have been developed based on microscopic models of individual vehicles’ behaviors (e.g. Gazis et al., 1961; Gipps, 1986; Hidas, 2002; Hidas, 2005).”