The DOI matches its Crossref record.
Simulation Laboratory for Evaluating Dynamic Traffic Management Systems
Abstract
Advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS) are promising technologies for achieving efficiency in the operation of transportation systems. A simulation-based laboratory environment, MITSIMLab, is presented that is designed for testing and evaluation of dynamic traffic management systems. The core of MITSIMLab is a microscopic traffic simulator (MITSIM) and a traffic management simulator (TMS). MITSIM represents traffic flows in the network, and the TMS represents the traffic management system under evaluation. An important feature of MITSIMLab is its ability to model ATMS or ATIS that generate traffic controls and route guidance based on predicted traffic conditions. A graphical user interface allows visualization of the simulation, including animation of vehicle movements. An ATIS case study with a realistic network is also presented to demonstrate the functionality of MITSIMLab.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
AntNet: Distributed Stigmergetic Control for Communications Networks
Di Caro, G., & Dorigo, M. (1998) · Journal of Artificial Intelligence Research · doi:10.1613/jair.530 · Cited by 1,579
A Microscopic Traffic Simulator for evaluation of dynamic traffic management systems
Yang, Q., & Koutsopoulos, H. N. (1996) · Transportation Research Part C: Emerging Technologies · doi:10.1016/s0968-090x(96)00006-x · Cited by 746
Self-citation
Metadata
- Authors
- Yang, Q., Koutsopoulos, H. N., & Ben-Akiva, M. E.
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2000-01
- Volume
- 1710
- Issue
- 1
- Pages
- 122-130
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W2005610030
- Cited by
- 275
- References
- 0
- FWCI
- 31.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Simulation Laboratory for Evaluating Dynamic Traffic Management Systems. https://app.cochat.ai/papers/10.3141/1710-14
- The paper
- Yang, Q., Koutsopoulos, H. N., & Ben-Akiva, M. E. (2000). Simulation Laboratory for Evaluating Dynamic Traffic Management Systems. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.3141/1710-14
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
