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mohamedsaleh
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Chair of Traffic Engineering and ControlTUM Department of Civil, Geo and Environmental Engineering
Technical University of Munich
Project Description for the IDP Application
”Development of an AI Model to Mimic the Regulatory Behavior of
the MobilityCoin Agency”
Content Description
To achieve the long-term goal to mitigate climate change, a reduction of greenhouse gas emissions is urgently needed.
This requires collective efforts and policy instruments. In transportation, economic instruments are considered
promising, where in recent years tradable credit schemes (TCS) received more and more attention. Building on the idea
of carbon pricing, it is a cap-and-trade scheme with the primary intention of limiting congestion, which is likely to reduce
emissions further. The chair of traffic engineering and control extend the rationale of a tradable mobility credits scheme
from a pure congestion-oriented demand management system to a holistic, full-trip multi-modal demand and supply
management system. There are two key innovations: The central agency can provide incentives to change travel
behavior according to the system’s overall objectives and travelers can invest parts of their allocated mobility budget to
supply-side changes, respectively infrastructure measures (consumption vs. investment). These innovative extensions
add options to earn, buy and sell credits which increases market activity supporting the cap-and-trade system. But most
importantly the holistic approach ensures that the entire transportation system contributes to achieving the set out goals.
Figure 1: Basic example for MobilityCoin mobility feature
The MobilityCoin System consists of three fundamental features. First, the mobility feature shown in figure 1. User of
the system get an initial budget (MobilityCoins) which they can spend to satisfy mobility needs. The prices are set based
on externalities caused by the chosen mode. Second, the market feature. In relation to the cap-and-trade nature of the
system, users can either buy additional coins on a digital marketplace or can sell exceeding coins on the same. Demand
and supply will generate a market price. The third feature represents a crowdfunding mechanism that enables user to
actively take part in infrastructure decisions. Instead of spending coins in mobility, they can vote and invest in
infrastructure measures. To balance the entire system, the observing MobilityCoin Agency plays a crucial role in order
to keep the system running.
Task Description
This IDP project is concerned with the development of an AI model for the regulation of the MobilityCoin System on the
example of the city of Munich. The macroscopic mixed complementarity equilibrium model of the MobilityCoin system
serves as framework to evaluate disturbing effects and resulting behavior of the AI model. The model is expected to
take in the role of the MobilityCoin Agency. In figure 2 are the main mechanisms visualized. The model is supposed to
react properly on specific disturbances within the system while market prices should remain stable. Possible cases are
to be explained beforehand and modes of action must be derived in order to equilibrate the MobilityCoin System.
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