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Vittorio Astarita

Publications and source records attributed to Vittorio Astarita.

3 recordsLinked to original sources

A Unified General Formula for Arbitrary Liquidity Operations in Weighted AMMs: Potential Applications to Intelligent Transportation Systems

Intelligent transportation systems increasingly rely on decentralized mechanisms to allocate limited resources such as freight capacity, warehouse availability, charging infrastructure, and network bandwidth. Efficient allocation requires pricing mechanisms that adapt dynamically to demand while preserving system stability. This paper investigates weighted constant-function market makers as a decentralized resource allocation mechanism for intelligent transportation systems, adapting the weighted invariant from Balancer-type automated market makers to model a generalized formulation over multiple tokenized resources. The standard literature documents exactly four resource allocation operations: proportional contribution, proportional withdrawal, single-resource contribution, and single-resource withdrawal, each obtained via separate derivations. This paper presents a single closed-form formula that unifies all four cases and extends them to two previously undocumented operations: partial-proportional contributions and fully non-proportional operations. The unified formula reveals that the conservation invariant and the allocation formula are structurally identical; the invariant itself is the general allocation formula. We prove two swap-decomposition theorems showing that, in a fee-less environment, any non-proportional operation is equivalent to an internal rebalancing swap combined with a proportional operation. Both theorems generalize previous propositions from single-resource to arbitrary multi-resource operations. The proposed framework provides a mathematically grounded mechanism for decentralized market-based coordination in transportation networks.

q-fin.PR↗

Risks and opportunities in arbitrage and market-making in blockchain-based currency markets. Part 1 : Risks

This study provides a practical introduction to high-frequency trading in blockchain-based currency markets. These types of markets have some specific characteristics that differentiate them from the stock markets, such as a large number of trading exchanges (centralized and decentralized), relative simplicity in moving funds from one exchange to another, and the large number of new currencies that have very little liquidity. This study analyzes the possible risks that specifically characterize this type of trading operation, the potential opportunities, and the algorithms that are mostly used, providing information that can be useful for practitioners who intend to operate in these markets by providing (and risking) liquidity.

econ.GN↗

From traffic conflict simulation to traffic crash simulation: introducing traffic safety indicators based on the explicit simulation of potential driver errors

This paper introduces a general simulation framework that can allow the simulation of crashes and the evaluation of consequences on existing microsimulation packages. A specific family of simple and reproducible conflict indicators is proposed and applied to many case studies. In this approach driver failures are simulated by assuming that a driver stops reacting to an external stimulus and keeps driving at the current speed for a given time. The trajectory of the distracted driver vehicle is thus evaluated and projected, for the given time steps, for the established distraction time, over the actual trajectories of other vehicles. Every occurring crash is then evaluated in terms of energy involved in the crash, or with any other severity index (which can be easily calculated since the accident dynamics can be accurately simulated). The simulation of a driver error allows not only the typology of crashes to be included, normally accounted for with surrogate safety measures, but also many other type of typical crashes that it is impossible to simulate with microsimulation and traditional methodologies being caused by vehicles who are driving on non-conflicting trajectories such as drivers speeding at a red light, drivers taking the wrong lane or side of the street or just driving off the road in isolated accidents against external obstacles or traffic barriers. The total crash energy of all crashes is proposed as an indicator of risk and adopted in the case studies. Moreover, the concepts introduced in this paper allow scientists to define other relevant variables that can be used as surrogate safety indicators that consider driving errors. Preliminary results on different case studies have shown a great accordance of safety evaluations with statistical data and empirical expectations and also with other traditional safety indicators that are commonly used in microsimulation.

cs.MA↗