Abstract
In this paper, we propose a new computational model of driver car-following control with lateral control based on the Queuing Network (QN) cognitive architecture. A driver car-following model within the framework of the QN cognitive architecture is first developed based on the time headway and then integrated with a QN-based driver lateral control model previously validated. The comparison between human driver data and the integrated model simulation data suggests that this computational model can perform car-following control with lateral control well, and its performance is in agreement with that of drivers under straight and curved roads. This proposed model can compute and simulate car-following behavior and thus has the potential to help develop driver assistance systems for the car-following scenario.
| Original language | English |
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| Pages | 274-278 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 4th Global Congress on Intelligent Systems, GCIS 2013 - Hong Kong, China Duration: 3 Dec 2013 → 4 Dec 2013 |
Conference
| Conference | 2013 4th Global Congress on Intelligent Systems, GCIS 2013 |
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| Country/Territory | China |
| City | Hong Kong |
| Period | 3/12/13 → 4/12/13 |
Keywords
- Car-following
- Driver lateral control
- Queuing Network