In this paper, we present a dynamic simulation model which projects the future population of the city of Leeds as a basis for policy analysis and scenario planning. We argue that microsimulation modelling is not entirely effective in the representation of student populations. Alternative approaches using both spatial interaction models and student agents are presented and evaluated. The results...

We present the local path planning and obstacle avoidance method used on the autonomous tour-guide robot RoboX. It has proven its value during a 5 month operation of ten such robots in a real-world application, a very crowded exhibition. Three known approaches (DWA, elastic band, NF1) have been integrated into a system that performs smooth motion efficiently, in the sense of computational effor...

Power systems are frequently subjected to large disturbances such as lightning strikes and feeder trips. Dynamic response of the power system to these disturbances may involve large deviations from normal conditions, or even instability. Therefore, analysis of dynamic behavior through modeling plays an important role in understanding historical events (such as the recent U.S./Canadian blackout)...

Retailers, from fashion stores to grocery stores, have to decide what range of products to offer (assortment planning) and what prices to charge (price optimization). New business trends, such as mass customization and shorter product life cycles, make predicting demand more difficult, which in turn complicates assortment planning and price optimization. We propose and study a stochastic dynami...

In this paper, we analyze an internal goal structure based on heuristic dynamic programming, named GrHDP, to tackle the 2-D maze navigation problem. Classical reinforcement learning approaches have been introduced to solve this problem in literature, yet no intermediate reward has been assigned before reaching the final goal. In this paper, we integrated one additional network, namely goal netw...

Recently, discrete part manufacturing systems have encountered more impending requests for adaptability and flexibility in order to efficiently survive the increasing dynamics of manufacturing environment. Although featurebased computer-aided process planning plays a vital role in automating and integrating design and manufacturing for efficient production, its off-line properties prohibit the ...

It is shown how to model a cooperative path planning system for multiple autonomous air vehicles within the framework of a stochastic (dynamic programming) decision process. The proposed approach allows the vehicles to cooperate and find near-optimal search paths over a given environment in the presence of uncertainty and constraints on movement and computational power.

This paper presents a method for motion planning in dynamic environments, subject to robot dynamics and ac-tuator constraints. The time optimal trajectory is computed by rst generating an initial guess using the concept of velocity obstacle. The initial guess, computed by a global search over a tree of avoidance maneuvers, is then optimized using a dynamic optimization. This method is applicabl...

This paper provides a new approach to the dynamic motion planning problems of mobile robots in uncertain dynamic environments based on the behavior dynamics from a control point of view. The fundamental behavior of a mobile robot in motion planning is regarded as a dynamic process of the interaction between the robot and its local environment, and then it is modeled and controlled for the motio...

Modern transportation problems are highly dynamic and time critical. A planning system for transportation problems must therefore include efficient and flexible planning and replanning strategies. In this paper we introduce a general agent-based framework for highly dynamic order-based transportation planning problems where a tactical planner and several operational planners (one for each trans...