We design efficient transportation systems through data-driven and context-driven quantification of transportation network parts and modes.
At AETHON we employ advanced transportation algorithms and optimization methods to model the transportation network in the scope of:
- improved multimodality through better understanding of dependencies among modes,
- enhanced network design with strategic and real-time operations planning,
- better traffic safety and security models,
- improved logistics operations through better routing models.
Multimodality: modelling dependencies
Multimodality is the concept of a using a chain of modes to reach a destination which superimposes the concept of seamless travelling. AETHON has a state-of-the-art overview of the dependencies and connections of different modes, including Public Transport, car, bicycle, aviation, maritime and logistics.
This overview, combined with the latest advanced modelling techniques that stem from Artificial Intelligence and Transport Engineering, lead to an improved estimation, representation, prediction and design of the network and its modes.
Strategic and real-time planning
In AETHON, we have the skills to create strategic plans at the neighbourhood, city and region levels for determining road usage, soft-mode road placing (bicycles, e-scooters, pedestrians), Public Transport station placement and all other aspects of network design. We execute impact assessment studies for determining the effects of transport interventions (e.g., pedestrian walks, lowering speed limits, creation of parking spaces) at any scale and for all modes in the urban, suburban or inter-regional environment.
We execute real-time planning activities through model creation that allows improved forecasting and real-time impact assessment of changes on the network such as, maintenance work, road closure, bus/train disruptions, natural hazards. The combination of real-time and strategic models brings forth holistic solutions for the transportation network that is of great worth for municipalities, traffic control centres, Public Transport Operators, logistics operators and hub operators (e.g., train stations, airports, seaports).
A Safe and Secure network
Network design must respond to dynamic elements occurring on the network, involved with natural or man-made hazards. We design networks with resiliency in mind, ensuring business continuity and protection of travellers. We create plans, operation schemas and processes for ensuring that operators of networks can respond to threats and resolve problems quickly. For this purpose, we utilise our excellent overview of technology advancements, from mobile phone technologies to roadside equipment.
We envision a zero-accident world, where travellers move freely and safely. We create forecasting models that allows us to model the reasons and possible circumstances leading to accidents, thus, proposing a range of actions for improving Traffic Safety at the strategic and real-time planning levels.
The term Logistics covers a broad range of composite topics that aim to organize and improve the transportation of goods with regard to increasing effectiveness and reliability. AETHON provides the know-how and tools to engage complex Logistics setups and enables the application of new technologies and intelligent methods. Advanced routing algorithms are used to achieve a high-performing fleet management outcome, multi-criteria analysis of the present policies is used to assess the effectiveness of the rules that govern the end-to-end process and decision support tools are utilized to facilitate and support the administration of the entire Logistics chain.
The objective of modelling the Logistics methods of an organization is to locate bottlenecks in the process and be able to provide actionable advice so as to tackle the difficulties of day-to-day operations. KPIs are identified and estimated in order to quantify and measure the improvement of the processes on a strategic level and allow long-term planning, projected unit allocation and scale-up possibilities.