Abstract
To take account of dynamics in departure times after changes in network conditions, the preferred times of travel play a key-role. Knowledge of these time is needed to calculate any possible utility or disutility a travel maker perceives by changing his departure time. The preferred times of travel are, however, time and cost consuming to obtain. The method, proposed in this paper, reveals the preferred travel times, using a Reverse Engineering of the data. Having obtained the preferred departure profile, the method then forecasts the future demand profile in an iterative loop with an assignment model. Both an analytical and a practical algorithm for Reverse Engineering are provided. The method is illustrated for a hypothetical case with a single origin-destination pair
Original language | English |
---|---|
Title of host publication | Proceedings of the 81st Transportation Research Board (TRB) Annual Meeting 2002 |
Place of Publication | Washington, DC |
Publisher | Transportation Research Board (TRB) |
Number of pages | 23 |
Publication status | Published - 13 Jan 2002 |
Event | 81st Transportation Research Board (TRB) Annual Meeting 2002 - Washington, United States Duration: 13 Jan 2002 → 17 Jan 2002 Conference number: 81 |
Conference
Conference | 81st Transportation Research Board (TRB) Annual Meeting 2002 |
---|---|
Country/Territory | United States |
City | Washington |
Period | 13/01/02 → 17/01/02 |
Keywords
- METIS-210492