In a smart transport system, all journeys can be traced and identified.
If we start from what the smart transport network should look like, we have basic technical models now.
Smart transport might well mean digital parking meters that text you when a parking space opens up, or real-time transport displays that give data about traffic jams, availability of buses and train services.
A sensible debate would address two big issues: how we prepare, plan and regulate for the eradication of most driving work; and what an integrated smart transport network should look like in version 1.0.
Tech such as smart transport and remote surgery, where a human remotely operates a robot to carry out complicated operations, will rely on lower latencies too.
These are the smart section erasure (SSE) and smart transport stream erasure (STSE) schemes, which are jointly executed by the link layer and service layer cross-layer algorithms.
In the "Smart Transport" project, students have been invited to suggest transport solutions for the future – based on their own experiences of shortcomings in today's transport system.
The theme Smart Transport can be described as adequate human system symbiosis to realize effective, efficient and human-friendly transport of goods and information.
An introduction to smart transport is presented, including examples of best practice for engineering human factors in the vehicle ergonomics and train traffic control domain.
In this regard, context-aware applications can monitor what is happening in urban environments, analyze, interpret, and respond to them in a variety of ways be it in relation to smart energy, smart street lights, smart traffic, smart transport, smart mobility, smart education, smart healthcare, or smart safety across several spatial and temporal scales (e.g. [4]).
