Rapid “urbanization” (more than 50% of world’s population now resides in cities) coupled with the natural lack of coordination in usage of common resources (ex: bikes, ambulances, taxis, traffic personnel, attractions) has a detrimental effect on a wide variety of response (ex: waiting times, response time for emergency needs) and coverage metrics (ex: predictability of traffic/security patrols...

This paper deals with the real time regulation of traffic within a disturbed transportation system. We show the necessity of a decision support system that detects, analyzes and resolves the unpredicted disturbances. Due to the disturbed aspect of transportation system, we present a multi-agent approach for the regulation process. This approach includes an anytime algorithm, which permits to ac...

The traditional way of controlling urban traffic is using centralised control approaches: There is a single control centre where decisions are made about the traffic control in the whole urban area. Currently, this paradigm is shifting towards more decentralised hierarchical approaches with smaller control centres serving sub-regions of the intersection network in a city. The paper reviews poss...

Many societal decisions involve complexity and conflicting objectives. Preferences in such environments can be expected to change as situations evolve. In this paper, we propose a procedure that incorporates MCDM into system dynamics modeling to handle dynamic multiple criteria situations, which we name dynamic MCDM. A case of urban infrastructure is presented to illustrate the procedure. Dynam...

Green infrastructure (GI) includes an array of products, technologies, and practices that use natural systems—or designed systems mimic processes—to enhance environmental sustainability human quality life. GI is the ultimate source ecosystem services which biotic environment provides to humanity. The maintenance enhancement optimise supply thus requires conscious planning. objective this themat...

Traffic evacuation is one of the most challenging problems in a mega city due to crowded road conditions. This study focuses on developing a traffic evacuation model with decision-making capability. The model basically consists of two modules. The first one is a decision-making support module which runs very fast and provides short-forecast. The second one is a simulation module, which is used ...