Shortest Paths from a Group Perspective—A Note on Selfish Routing Games with Cognitive Agents
Bibliographic Data
| ID | 19149258 |
|---|---|
| Authors | Joachim Scholz (0000-0002-3212-8864, Graz University of Technology, corresponding author), Richard L Church (0000-0003-2263-2204, University of California, Santa Barbara) |
| Year | 2018 |
| Volume | 7 |
| Issue | 9 |
| Pages | 345-345 |
| Publication date | 2018-08-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijgi7090345 |
| OpenAlex | W2888650380 |
| Language | EN |
| References cited | 26 |
This paper presents an analysis of the effects of cognitive agents employing selfish routing behavior in traffic networks with linear latency functions. Selfish routing occurs when each agent traveling on a network acts in a purely selfish manner, therefore the Braess Paradox is likely to occur. The Braess Paradox describes a situation where an additional edge with positive capacity is added to a given network, which leads to higher total system delay. By applying the concept of cognitive agents, each agent is able to make a range of non-selfish and selfish decisions. In addition, each agent has to cope with uncertainty in terms of travel time information associated with the traffic system, a factor in real-world traffic networks. This paper evaluates the influence of travel time uncertainty, and possible non-selfish decisions of the agents on overall network delay. The results indicate that both non-selfish behavior and uncertainty have an influence on overall travel delay. In addition, understanding the influence of cognitive agents on delay can help to better plan and influence traffic flows resulting in “closer to optimal” flows involving overall lower delays
Cognition · Computer network · Enhanced Data Rates for GSM Evolution · Mathematical optimization · Operations research · Traffic system · Transport engineering · Travel time · Complex Network Analysis Techniques · Computer Science · Engineering · Mathematics · Opinion Dynamics and Social Influence · Psychology · Transportation Planning and Optimization · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |