Building accurate travel demand models requires a detailed understanding of the ways behavior changes during specific conditions. Route choice, for example, can vary dramatically depending on time of day and other factors that influence drivers.
Let’s say that Sarah needs to drive from her home in Pittsburgh’s east end to the downtown business district. Most of the time, she finds Penn Avenue to be the fastest and most enjoyable route. But she also knows it would be foolish to take that route during rush hour. Or during a sports game, major concert or visit from the President.