Hi All, I wondered if anyone has looked at ways to represent the variability of vehicle behaviour due to driver personalities/human factors?
I modified some vehicle parameters around reaction times, over-braking, etc, to represent a more 'imperfect' driver, as I wanted to see congestion waves appearing on motorways. I enforce a speed limit on a small number of vehicles to see if its can 'clear up' the congestion. I was thinking of running a GA to explore how many cars to apply the speed restriction to, for how long, and to what value, but, that might (probably will) just tune for the specific features of that driver performance. For example I read Seele et al (2012), Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments, which suggests using a 'Five Factor Model' from psychology, which I could imagine helping, but, probably with quite a lot of implementation effort needed to map that into specific driving behaviours. So, I was hoping it might have been something a user of SUMO somewhere might have looked at already, to mitigate the effect of otherwise 'perfect' drivers? Or tackled some other way maybe? Thanks Vincent ------------------------------------------------------------------------------ Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ sumo-user mailing list sumo-user@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/sumo-user
