Advanced Transportation and Demand Management (ATDM) strategies seek managing transportation facilities from both a supply perspective and a demand perspective. In terms of supply, the service quality of different transportation modes needs to be improved though providing integrated and proactive control strategies mainly to impact the tactical (lane or facility choice) and operational (speed choice) decisions of the travelers/users. In terms of demand, the strategic decisions of the travelers/users (i.e. destination choice, departure time choice and mode choice) need to be influenced through passive and active information dissemination strategies. The resulting quantifiable measures of effectiveness should reflect a more efficient transportation system in terms of safety, mobility, economic feasibility and environmental preservation.
In order to realize the above objectives, several research tasks should be performed. First, travelers’ decision-making processes and motivations should be better understood and thus modeled. Second, the relationship between such decisions and the underlying motivations from one side and the surrounding traveling environment from the other side should be captured as a function of the traveler’ and the trip’s characteristics. Finally, the findings should be utilized to provide guidelines to develop more efficient demand and supply control strategies within the scope of ATDM. These guidelines will ultimately lead to better simulation tools that take into account the real time nature of the problem and benefit from the data-rich connected traveling environment.
Principal Investigator: John Campbell, Battelle Inc. (Professor Hamdar is a Subcontractor to Battelle Inc.)
Sponsor: Federal Highway Administration
Period: September 2015 – November 2016* (Expected)