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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Adaptive Systems (1)
- Carpool (1)
- Decision Making (1)
- Demand Management (1)
- Deployment (1)
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- Digital Simulation (1)
- Entropy Optimization (1)
- Evolutionary computation (1)
- Framework (1)
- Game theory (1)
- ITS (1)
- Intelligent Vehicle Highway Systems--Planning (1)
- Intelligent transportation systems (1)
- Issues (1)
- Mathematics Computing (1)
- Mobile robots (1)
- Multilayer Perceptrons (1)
- Neural Net Architecture (1)
- Self-Organising Feature Maps (1)
- Transportation--Planning--Decision-making (1)
- Trip Distribution (1)
- Urban Sprawl (1)
Articles 1 - 4 of 4
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Evolving Neural Networks Applied To Predator-Evader Problem, Shivakumar Viswanathan, Ilker Ersoy, Filiz Bunyak, Cihan H. Dagli
Evolving Neural Networks Applied To Predator-Evader Problem, Shivakumar Viswanathan, Ilker Ersoy, Filiz Bunyak, Cihan H. Dagli
Computer Science Faculty Research & Creative Works
The creation of strategies to meet abstract goals is an important behavior exhibited by natural organisms. A situation requiring the development of such strategies is the predator-evader problem. To study this problem, Khepera robots are chosen as the competing agents. Using computer simulations the evolution of the adaptive behavior is studied in a predator-evader interaction. A bilaterally symmetrical multilayer perceptron neural network architecture with evolvable weights is used to model the “brains” of the agents. Evolutionary programming is employed to evolve the predator for developing adaptive strategies to meet its goals. To study the effect of learning on evolution a …
A Five-Year Development Plan For The California Aviation Database, H.-S. Jacob Tsao
A Five-Year Development Plan For The California Aviation Database, H.-S. Jacob Tsao
Faculty Publications
The California Aviation Database (CAvD) project was suggested by Caltrans Aeronautics Program to fulfill a need of the planners involved in aviation system planning and programming activities to locate and access aviation data and information in an efficient and comprehensive way. CAvD is being implemented in the form of an Internet website and is currently intended as a five-year project. However, the development can be accelerated, and the duration will depend on the available resources. CAvD is a joint project between the National Center of Excellence for Aviation Operations Research (NEXTOR) and the California Department of Transportation (Caltrans). Its primary …
A Decision-Oriented Framework For Evaluating Deployment Strategies For Intelligent Transportation Systems, H.-S. Jacob Tsao
A Decision-Oriented Framework For Evaluating Deployment Strategies For Intelligent Transportation Systems, H.-S. Jacob Tsao
Faculty Publications
Because Intelligent Transportation Systems (ITS) R&D is performed for the ultimate deployment in the real world, deployment issues may limit design options for ITS concepts and technologies and, hence, can be viewed as constraints on ITS R&D. Therefore, ITS deployment issues must be studied at the outset of the R&D process. This paper develops a framework to help recognize and organize such issues. The findings can be used by ITS researchers in developing deployable ITS concepts and technologies and by ITS promoters in deploying ITS technologies having been developed already. Based on a focus on decisions impacting the deployment of …
Spatial And Temporal Factors In Estimating The Potential Of Ride-Sharing For Demand Reduction, H.-S. Jacob Tsao, Da-Jie Lin
Spatial And Temporal Factors In Estimating The Potential Of Ride-Sharing For Demand Reduction, H.-S. Jacob Tsao, Da-Jie Lin
Faculty Publications
Traffic congestion has been a pervasive problem in many urban areas of this country. This paper studies the potential of carpooling among unrelated partners (i.e., inter-household carpooling) for demand reduction during peak commute hours. Basic questions about this potential include the following. Can the current population density, origin-destination distribution, tolerable pick-up and drop-off delays, departure time distribution, and the tolerance for deviation from preferred departure time support a sizable carpooling population that can make a significant contribution to traffic demand reduction? Could the proportion of long trips that are likely candidates for carpooling (e.g., those long trips with same O-D) …