Background Paragraph: Turner et al (2006) derived crash prediction models for this report’s predecessor and found a
pronounced ‘safety in numbers’ effect in the models. Using the crash prediction model for mid-block
locations, generic motorist and cyclist volumes can be used to demonstrate the impacts on the
expected crash rate of varying motor vehicle and cycle volumes. As shown in figure 2.20, an increase
in the proportion of cyclists to the overall traffic volume causes an increase in expected crashes at
mid-block locations, but the crash rate increases at a decreasing rate. That is to say, the crash rate per
cyclist goes down as the cycle volume increases. 
Story: Steven loves biking to get to and from places instead of driving his car. This weekend he is planning a long bike ride along the city streets to see some sites. He is however, concerned with traffic, and knows that it can sometimes be dangerous. He has wonder if he should travel with some friends for the ride, or just go alone. 
Question: Which would be the least crash prone way to travel for Steven?
travel with some friends.