Analysing the Effects of Stop-&-Go Conditions in Traffic Assignment Models
نویسندگان
چکیده
Stop-&-Go waves also known as traffic oscillations are the conditions characterized by sudden braking followed by acceleration. This leads to an increase in fuel consumption, CO2 emissions, safety risks increased heart rate and blood pressure level of drivers. It causes discomfort, delays and frustration to the driver thus making them to avoid travelling in such conditions. This paper will test the hypothesis: More is the frequency of stop-&-go waves on a given route; the more is the likelihood of a driver to shift to a different route with a slightly higher travel time but lesser number of stop-&-go waves. The study will analyse the results of traffic assignment models (route choice or user equilibrium) by introducing the frequency of stop-&-go into the link cost function. This analysis will be carried out on the software package AIMSUN using one of its test networks. The results of two experiments, one with only travel time in the link cost function and other with both travel time and frequency of stop-&-go will be compared. The comparison will provide insights upon giving weightage to measure of discomfort (number of stop-&-go) rather than emphasising only on minimizing the travel time. A sensitivity analysis will also be carried out by varying the trade-off value between number of stop-&-go and travel time.
منابع مشابه
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