Abstract
Information and communications technologies (ICT) and future and emerging technologies (FET) are expected to revolutionize transportation in the next generation. Travelers’ behavioral adaptation is a key to their success. We discuss the notion of managing traffic congestion by enhancing cooperation in road networks enabled with ICT and FET. Cooperation is an emergent social state related to the dynamics and complexity of road traffic and reinforced learning. Game theory and research in behavioral economics show that cooperation can be leveraged to efficiently solve social dilemmas similar to traffic congestion. We review the applicability of behavioral economics and game theory concepts to route, mode and departure time choice problems. Beyond advancing theory, research on cooperation in the context of transportation is still in its infancy. We discuss state-of-the-art methodologies and their weaknesses and review the unexplored opportunities inherent in game-based methodologies. A behavioral-technological research agenda for FET is also discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 10-28 |
| Number of pages | 19 |
| Journal | Transportation Research Part C: Emerging Technologies |
| Volume | 72 |
| DOIs | |
| State | Published - 1 Nov 2016 |
Keywords
- Complexity
- Congestion
- Cooperation
- Future and emerging technologies
- Game theory
- Game-based model
- ICT
- Serious games
All Science Journal Classification (ASJC) codes
- Transportation
- Automotive Engineering
- Civil and Structural Engineering
- Management Science and Operations Research
