  Connected and automated vehicles (CAVs) provide the most intriguing
opportunity for enabling users to significantly improve safety and
transportation efficiency by monitoring network conditions and making better
operating decisions. CAVs, however, could alter the tendency to travel,
eventually leading to a high traffic demand and causing rebound effects (e.g.,
increasing vehicle miles traveled). This chapter provides a control framework
to distribute travel demand in a given transportation network, resulting in a
socially optimal mobility system that travelers would be willing to accept. A
"socially optimal mobility system" implies a mobility system that (1) is
efficient (in terms of energy consumption and travel time), (2) mitigates
rebound effects, and (3) ensures equity in transportation.
