Aseon Labs, which came out of Y Combinator's 2026 spring cohort, has raised $10 million from Crane Venture Partners and ...

Driverless cars could ease commutes in Dallas-Fort Worth, a new study led by SMU suggests. SMU civil and environmental ...

Electric Vehicles (EVs) offer pathways to lower emissions and increased energy efficiency. However, a broad and equitable adoption of electric vehicles can only be realized with well-planned growth in ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

Industry-Specific Job Displacement: AI’s impact will vary sharply by industry. Certain sectors with a high proportion of automatable routine tasks face the greatest job losses by 2030, whereas others ...

The growing integration of urban air mobility (UAM) for urban transportation and delivery has accelerated due to increasing traffic congestion and its environmental and economic repercussions.

From Intelligent Transport Systems (ITS) to the Internet of Vehicles (IoV), vehicular application scenarios are becoming more complex by requesting more elaborate network and security protocols (e.g., ...

This project is a Python-based solver for the Vehicle Routing Problem with time window constraints (VRPPDTW) using the DOcplex solver. It allows users to optimize routes for vehicles to efficiently ...

In the past few years, the importance of electric mobility has increased in response to growing concerns about climate change. However, limited cruising range and sparse charging infrastructure could ...

Traditional neural networks struggle to manage long and complex data sequences effectively. Incorporating an attention layer can enhance a model's ability to focus on important information. If we are ...