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Intelligent Transportation Technique Methods in Disadvantaged Communities    Barth, Matthew J; Boriboonsomsin, Kanok; Wu, Guoyuan; Hao, Peng (December 2024, Springer Mother nature Switzerland) Several cities internationally wish to use engineering and innovation to Enhance the Over-all efficiency and security for his or her people. At the heart of such intelligent-city programs, a range of intelligent transportation procedure technologies may be used to further improve basic safety, enhance mobility actions (e.g., targeted visitors circulation), and decrease environmental impacts of the metropolis’s mobility ecosystem. Early implementations of such ITS systems normally occur in affluent towns, the place there are several funding chances and acceptable places for deployment. However, it can be crucial that we also produce intelligent metropolis options which might be centered on improving upon disorders of disadvantaged and environmental justice communities, whose citizens have suffered quite possibly the most from unmitigated city sprawl and its environmental and overall health impacts. As a number one example, Inland Southern California has grown to generally be among the most important hubs of products movement on the earth.

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Dynamic Spatial Rate Equilibrium, Nonlinear Freight Pricing, and Different Mathematical Formulations    Friesz, Terry L; Lin, C C (March 2025, Networks and Spatial Economics) This paper is meant to be a information for scientists keen on dynamic modeling of commodity flows through the viewpoint of spatial value equilibrium. Particularly, we current a kind of dynamic spatial selling price equilibrium (DSPE) in continuous time like a foundation for modeling freight flows in the community economic climate. We look at the circumstance of the identified matrix of vacation instances concerning all pairs of marketplaces (origindestination pairs) in just a community for which paths (routes) are articulated. We also look at the device price of transport to become the sum of the cost for freight providers plus a surcharge for backorders. Costs for freight providers follow a nonlinear operator stated herein.

By leveraging an MDP framework, MCSMARA styles reader point out transitions and employs a utility-centered arbitration mechanism to dynamically allocate frequencies and time slots. The protocol incorporates adaptive backoff and decentralized community discovery for effective resource management devoid of centralized Command. Simulation outcomes show that MCSMARA lessens collisions by approximately thirty%, improves throughput by 25%, and assures superior scalability, supporting a great deal of visitors with small computational overhead. These conclusions establish MCSMARA for a transformative solution for RFID networks in logistics, retail, and industrial IoT, with possible for extension to cellular and heterogeneous environments. 

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To resolve this bi-goal Wager dispatching problem, we suggest an progressive technique, integrating an adaptive large neighborhood look for-centered metaheuristics algorithm having a multi-goal optimization method. This integration allows the exploration in the trade-off among fleet energy costs and labor charges, optimizing the dispatching choices for BETs. To validate the proposed dispatching system, considerable experiments had been carried out utilizing true-globe fleet operations info from a logistics fleet in Southern California. The final results demonstrated which the proposed tactic yields a set of Pareto methods, showcasing its usefulness find a harmony amongst energy performance and labor charges in urban logistics units. The results of the study lead to advancing sustainable urban logistics tactics and supply useful insights for fleet operators in efficiently managing BET fleets to reduce environmental impacts though protecting financial effectiveness. 

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