Explore the world of transportation planning, where data-driven models and real-time sources like TomTom shape smarter, more efficient mobility systems. See how tech and analytics guide the future ...

Structured Linear Controlled Differential Equations (SLiCEs) are a new class of sequence models that combine the maximal expressivity (i.e., universality) of dense, input-dependent, state-transition ...

A comprehensive review of transportation problems is provided in this paper, which clarifies the definition and mathematical model of transportation problems as a special class of linear programming ...

It started when the Capital District Transportation Authority spotted how CDTA is making transit easier for drivers thanks to Miovision’s Opticom TSP.

Transportation Problem Program, or TPP, solves transportation problems using linear programming techniques, specifically either the Stepping Stone or the Modified Distribution (MODI) method.

Stochastic transportation problems attract much attention in many fields, such as resource allocation, production management, etc. In this paper, after analyzing how to process random constraints in ...

Key Insights Low-code minimizes the use of textual programming languages and instead uses alternatives such as visual or natural languages. Progress in AI fuels progress in low-code in proportion to ...