Abstract
With a broader distribution of personal smart devices and with an increasing availability of advanced navigation tools, more drivers can have access to real time information regarding the traffic situation. Our research focuses on determining how using the real time information about a transportation system could influence the system itself. We developed an agent based model to simulate the effect of drivers using real time information to avoid traffic congestion. Experiments reveal that the system's performance is influenced by the number of participants that have access to real time information. We also discover that, in certain circumstances, the system performance when all participants have information is no different from, and perhaps even worse than, when no participant has access to information.
Highlights
With a larger distribution of personal smart devices and navigation tools, there are several novel sources for real time data collection and better means for information transmission
One would expect that more agents using information would improve traffic conditions, our results show the opposite in some cases
We present our experimental results involving information dissemination in transportation systems
Summary
With a larger distribution of personal smart devices and navigation tools, there are several novel sources for real time data collection and better means for information transmission. Intelligent Transportation Systems (ITS), applying information processing, communication, sensing, and control technologies [21], have become more advanced and play a key role in improving transportation [20]. In this context, large amounts of data are processed and presented to the participant vehicles through their navigation systems. In [8], the market dynamics is explained by phases: boom, euphoria (with informational cascades), trigger and panic (with information avalanches) Another example is analysing the effect of transaction costs on the overall market efficiency when aggregating private information [3].
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