Initiative 38: Dynamic Routing

Dynamic Routing
Description: Dynamic routing systems are used by public authorities to enhance safety and prevent violations of access regulation. The private sector uses in-vehicle routing as part of a decision support system to enhance the efficiency of fleet management.
Targeted mode: All Traffic Geographic scope: City, Area
Type of initiative: Logistic Management: ITS: Dynamic Routing Primary objective: Improve traffic flow/ improve efficiency, enhance safety.
Expected costs and level of effort to implement: Truck routing and the decision support system are based on Intelligent Transportation Systems; they require high quality real-time traffic data, information on the road network, and land use in the area. Large benefits can be expected when the guidance system is connected to commercial vehicle operation (CVO) systems to optimize fleet management. The planning process should include extensive stakeholder and government involvement. The costs are mainly those associated with the operational cost of the management system, data collection, analysis and dissemination. There are different CVOs, ranging from low cost technology installations to large-scale networks of systems.
Advantages:

  • Increase efficiency
  • Reduce operational costs
  • Improve reliability
  • Reduce congestion
  • Environmental sustainability
  • Reduce fuel consumption
Disadvantages:

  • Require real-life traffic information
  • Require very high/high capital investments
Examples:

  • Examples of commercial vehicle operations (CVO) for truck guidance and coordination include Berlin, Germany; London, England; and Paris, France (BESTUFS 2007, 27)
  • New York (USA), Paris (France) and London (England) have successful freight traffic management centers (PIARC 2011)

Source: (Dong et al., 2004)

Source: Dong et al. 2004

Related alternatives: 1. Restricted Multi-use Lanes; 2. Traffic Control; 3. Real-Time Information Systems; 4. Vertical Height Detection Systems
References: Taniguchi and Thompson 2002; Marquez et al. 2004; BESTUFS 2007; CASTLE 2009; Department for Transport 2009; START 2009; C-LIEGE 2010; PIARC 2011; Reynolds 2011; SUGAR 2011; Ben-Akiva et al. 2013

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