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- W2621195796 abstract "According to the INRIX Global Traffic Scorecard, in 2016, an average driver in Los Angeles has spent 100 hours (approximately 4 days) in traffic jams. The economic impact of this is huge. Besides, also issues related to environment is non-negligible. Many naive solutions tend to ignore the fundamental rule of traffic: building new roads just makes people drive more, i.e., more supply creates more demand. Given the continuous growth of the world urban population and the increasing needs related to mobility of people and goods, the demand is likely to grown anyway. Lucky, there are not only bad news here: people do adapt to congestion. Therefore, it is important to understand how this adaptive process occurs, and how to seize the opportunity to develop or enhance agent-based tools as well as reinforcement learning methods in order to contribute to the effort of fixing traffic as much as possible. Among many others, one example here is the design of protocols and mechanisms underlying new traffic-related apps." @default.
- W2621195796 created "2017-06-09" @default.
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- W2621195796 date "2017-05-08" @default.
- W2621195796 modified "2023-09-23" @default.
- W2621195796 title "Trying to Fix Traffic: Past, Present, and Some Future Trends" @default.
- W2621195796 doi "https://doi.org/10.5555/3091125.3091127" @default.
- W2621195796 hasPublicationYear "2017" @default.
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