
arXiv: 1305.7458
handle: 11343/241170
Modelling and simulating the traffic of heavily used but secure environments such as seaports and airports is of increasing importance. Errors made when simulating these environments can have long standing economic, social and environmental implications. This paper discusses issues and problems that may arise when designing a simulation strategy. Data for the Port is presented, methods for lightweight vehicle assessment that can be used to calibrate and validate simulations are also discussed along with a diagnosis of overcalibration issues. We show that decisions about where the intelligence lies in a system has important repercussions for the reliability of system statistics. Finally, conclusions are drawn about how microsimulations can be moved forward as a robust planning tool for the 21st century.
Journal of Computational Science 3 (1-2), 56-66, 2012
FOS: Computer and information sciences, Physics - Physics and Society, Computer Science - Artificial Intelligence, Transport, FOS: Physical sciences, Agents, Physics and Society (physics.soc-ph), Operations research, Theoretical Computer Science, Computational Engineering, Finance, and Science (cs.CE), Artificial Intelligence (cs.AI), Modelling and Simulation, Simulation, Transport, Operations Research, Agents, Computer Science - Computational Engineering, Finance, and Science, Simulation, Computer Science(all)
FOS: Computer and information sciences, Physics - Physics and Society, Computer Science - Artificial Intelligence, Transport, FOS: Physical sciences, Agents, Physics and Society (physics.soc-ph), Operations research, Theoretical Computer Science, Computational Engineering, Finance, and Science (cs.CE), Artificial Intelligence (cs.AI), Modelling and Simulation, Simulation, Transport, Operations Research, Agents, Computer Science - Computational Engineering, Finance, and Science, Simulation, Computer Science(all)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
