Transport Planner Software

Multimodal Transport Planning Systems

MJC²'s multimodal transport planning software optimizes routes through complex networks involving multiple modes of transport: air, rail, ferry, shipping, inland waterway and road.

Our transport planner solutions can be used for dynamic routing as well as strategic and tactical planning of transport networks. The use of advanced artificial intelligence-based algorithms allows optimization across very large networks and datasets.

Optimization Approach

A multi-objective optimization approach is used - instead of simply choosing the shortest or fastest option, the routing algorithms consider other factors such as cost, reliability, environmental impact and sustainability.

Road routing algorithms consider opportunities for using ULEVs, electric vehicles and cargo bikes, while the choice of other options such as rail or ferry can also be influenced by the environmental performance of the service.

Interoperability and Open Data

MJC²'s transport planner algorithms make use of open data standards to ensure straightforward integration with legacy systems and datasets.

Standard map data formats are used, allowing easy integration with GIS systems for routing calculations, including open data sources such as OpenStreetMap.

The General Transit Feed Specification (GTFS) allows public transport operators (e.g. buses, railways and ferries) to publish their schedules in a standardised way.

Similarly, the e-Freight standard messages such as the Transport Service Description can be used by freight transport operators to publish their services.

MJC²'s optimization services exploit these open standards to allow automated multimodal routing across multiple service providers.

Applications

Applications of our transport planning software include:

  • Distribution Scheduling: DISC optimizes distribution and logistics operations, including vehicle, driver and trailer planning, allowing for complex routing and access constraints (e.g. ULEZ or noise restrictions).
  • Multi-modal Logistics: freight routing algorithms which can accurately model complex intermodal transport and logistics networks.
  • Passenger Transport: passenger transport scheduling for taxis, minibuses or coaches, using dynamic routing and allocation algorithms to schedule movements and assign transport resources.

 

 

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