TRAVELER ROUTE CHOICE UNDER SIX INFORMATION SCENARIOS : TRANSIT LEVEL OF SERVICE IMPLICATIONS

The focus of this thesis is to find the most promising approach for improving actual transit route choice through providing better traveler information. Algorithms were derived for finding the ideal route choice for each of six information scenarios, ranging from one where travelers use transit maps, to one where travelers use adaptive route choice, and to the hypothetical situation referred to as perfect information.