ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
The interplay between heterogeneous travelers and traffic signals in a transport system can be modelled by an agent-based approach [1]. When traffic signal control is traffic-actuated or adaptive and no strict mathematical formulation exists, an agent-based approach is useful to model the interaction between signal control on the one hand, and travelers’ choice of departure times and routes on the other hand. In such a setup, one has to cope with the problem that traffic signals react to traffic flows while travelers react to improved traffic signal performance [2]. In the present paper, a traffic-actuated control is used that can be seen as “simple reflex agent” [3], i.e. sensors monitor the environment, and by condition-action rules the traffic signal control determines what to do next. Such a traffic-actuated control is used in practice, and it is a simple extension to fixed-time control. Travelers, in contrast, are modelled as utility-based learning agents that act in a partially observable, stochastic, sequential, dynamic, continous and multiagent context [3]. Even if the precise specification of traveler and traffic signal agents is kept simple, complexity results from the interaction between the agents. In order to simulate mutual reactions, one needs a computationally fast traffic flow model that treats vehicles as atomic units and captures all relevant properties of traffic signal control and traffic flow.