Abstract
System optimum is usually referred to as a theoretical traffic assignment, whose main use is comparison to user equilibrium. In this paper, we investigate an advanced travel information service (ATIS) that provides the travelers system optimal routing signals, so that if all travelers comply with the signal, system optimum is achieved. We present a simple binary route-choice Agent-Based Model that includes the interaction between agents in multiple congestion sensitive road networks, under different allocation of routing signals. We find that the frequency agents receive a better signal and the allocations used by the system have a great effect over the road network convergence to system optimum. The contribution of the findings enables a great reduction in aggregate network travel time only through a behavioral change to the agents.
| Original language | English |
|---|---|
| Pages (from-to) | 893-898 |
| Number of pages | 6 |
| Journal | Procedia Computer Science |
| Volume | 109 |
| DOIs | |
| State | Published - 1 Jan 2017 |
| Event | 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 - Madeira, Portugal Duration: 16 May 2017 → 19 May 2017 |
Keywords
- ATIS
- Congestion
- agent-based model
- game theory
- route-choice
- system optimum
ASJC Scopus subject areas
- General Computer Science
