Abstract
In order to satisfy the travel information service demand of individual users and solve the road network equilibrium assignment problem, a personalized information service strategy based on multi-agent negotiation was proposed using utility theory and multi-agent modeling technology. In this model, individual users, information issue units, and the traffic system manager are treated as different agents, and the benefit equilibrium between the individual users and the traffic system manager is attempted to be realized through negotiation among the agents. Then, the influences of the information service strategy on the individual users' travel time and the whole network performance were analyzed through Starlogo simulation under 30 negotiation service modes, designed with 5 road network saturations and 6 service acceptance ratios. The simulation results showed that the optimal flow saturation of road network for negotiation service was 0.95, and the optimal service ratio was 60%.
| Original language | English |
|---|---|
| Pages (from-to) | 627-634 |
| Number of pages | 8 |
| Journal | Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University |
| Volume | 45 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 2010 |
| Externally published | Yes |
Keywords
- Multi-agent negotiation
- Personalized travel information service
- Route choice
- Starlogo simulation
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