A Review of the Applications of Agent Technology in Traffic and Transportation Systems

By Harry H. Cheng. IEEE transactions on intelligent transportation systems (Print), 2010

663 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Transportation

View Paper: https://www.semanticscholar.org/paper/61ab1d0c9ff8e20c12a16f88909c7942d23d096c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Franziska Klügl-Frohnmeyer
2. Yue Lu
3. Jieping Ye
4. Dongbin Zhao
5. Ana Lúcia Cetertich Bazzan
6. Qiang Li
7. Fei-Yue Wang
8. Yu Zhang

In Computer Networks and Communications

1. Franziska Klügl-Frohnmeyer
2. Yue Lu
3. Jieping Ye
4. Dongbin Zhao
5. Ana Lúcia Cetertich Bazzan
6. Fei-Yue Wang

In Transportation

1. Franziska Klügl-Frohnmeyer
2. Jieping Ye
3. Dongbin Zhao
4. Ana Lúcia Cetertich Bazzan
5. Zhen Zhang
6. Fei-Yue Wang
7. Yujie Dai

Citations in the corpus

• Computational Intelligence in Urban Traffic Signal Control: A Survey (2012, background): “Many agent approaches have been applied to traffic systems [44].”
• An Algorithm for License Plate Recognition Applied to Intelligent Transportation System (2011, background): “L ICENSE PLATE RECOGNITION (LPR) plays an important role in numerous applications such as unattended parking lots [1], [3], [4], security control of restricted areas [5],”
• Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (2018, background): “In this paper, we focus on order dispatch in modern taxi networks [4, 12, 17, 24, 26], which corresponds to the process of finding a proper driver to serve a passenger’s request.”
• A review on agent-based technology for traffic and transportation (2013, result): “Second, compared with a recent review on agent technology for traffic and transportation (Chen & Cheng, 2010), here our focus goes beyond technological issues.”
• Minimal Controllability Problems (2013, neutral): “There has been much contemporary interest in the control of large networks which have a nearly unlimited number of interacting parts—from the aforementioned biological systems, to the smart grid [6], [39], to traffic systems [7], [8]—leading”
• Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications (2010, methodology): “techniques for traffic behavioral analysis [7]–[11], agent-based technology for traffic control [12], AI methods for assessing real-time highway traffic conditions, and transportation security [13]–[18].”
• Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs (2020, neutral): “decision making [17]–[19].”