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Mare Nostrum VMS Long Distance Corridor

Mare Nostrum VMS Long Distance Corridor. Antonio Lucas Alba DGT Consultant Road Safety and Traffic Institute University of Valencia. DGT + INTRAS = SIMVA Project ( SI stemas de M ensajes VA riables). 2001-2002 1200 VMS (now over 1600) 5 TCC (now 7) 4 official languages Goals:

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Mare Nostrum VMS Long Distance Corridor

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  1. Mare Nostrum VMS Long Distance Corridor Antonio Lucas Alba DGT Consultant Road Safety and Traffic Institute University of Valencia

  2. DGT + INTRAS = SIMVA Project(SIstemas de Mensajes VAriables) • 2001-2002 • 1200 VMS (now over 1600) • 5 TCC (now 7) • 4 official languages • Goals: • 1. Analyze VMS displays homogeneity • 2. Build a VMS standard catalogue • Method: 75% of TCC operators interviewed

  3. Starring: Multipurpose-VMS Normally 12 characters, Sometimes 10, 16… Normally one pictogram, sometimes two… Normally 3 línes of text, Sometimes two, four… 80%

  4. One problem: pictograms When no pictogram available or pictogram not understood: operators rely on text and problems appear … • Multicultural and international issues • Heterogeneity and cognitive overloading • Literacy levels • Legality • Etc. VMS heterogeneity can be seen as a problem derived from pictogram inadequacy or lack of traffic signs

  5. Solutions • Innovation and/or pictogram re-design • Determine principles for information organization: specificity, consequence oriented pictograms

  6. Some results

  7. International experience • European VMS Platform (2001-2003) • Mare Nostrum VMS Long Distance Corridor (2003 -) • Specific interest on Multipurpose-VMS • Harmonization laboratory • UN “Small Group on VMS” (2003 - ) • Cooperation with SOMS/IN-SAFETY

  8. Some outcomes

  9. Judged comprehensibility: The samples Italian, French, Spanish (DGT, SCT) and Dutch sample characteristics 715

  10. Results (I): Length 83.3% 54.2% 52.8% 38.6% 36.9% 27.0% 35.2% 32.7% 32.3%

  11. Results (II): Distance 81.1% 32.7% 29.4% 28.8% 29.5%

  12. Results (III): Location between two places 57.3% 56.6% 55.9% 54.4% 53.8% 52.6% Up: 54.6% 52.6% Down: 52.3% 51.3% 51.1% 49,7%

  13. Results (IV): Road kilometers 61.2% 54.1% 49.0% 46.2%

  14. The referents (V): Length + location between two places 77.8% 50.2% 48.9% 43.9% 38.9% 30.9%

  15. End of event Event length Quantitative location Event beginning Qualitative location Combined formulations

  16. Comprehension: computer test via internet

  17. Comprehension test: Design

  18. First results

  19. 8 KM > 2 KM < 2 KM Length and extension Short and middle term alternatives • Incorporating a complete coding (alphanumeric language) in order to indicate distance, length and combinations • Distance: Separate danger warning and informing about dangers

  20. 3rd step: laboratory testing 14/20 14/20 61,2% 57,3% 29,4%

  21. Thanks for your attention antonio.lucas-alba@uv.es

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