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| Tekijä: | Känsäkangas, Teemu |
| Työn nimi: | Quality Assessment Methods for Traffic Incident Information |
| Laadunarviointimenetelmät liikennehäiriötiedoissa | |
| Julkaisutyyppi: | Diplomityö |
| Julkaisuvuosi: | 2015 |
| Sivut: | ix + 66 s. + liitt. 9 Kieli: eng |
| Koulu/Laitos/Osasto: | Perustieteiden korkeakoulu |
| Oppiaine: | Systeemi- ja operaatiotutkimus (F3008) |
| Valvoja: | Salo, Ahti |
| Ohjaaja: | Laine, Tomi ; Salomaa, Osmo |
| Elektroninen julkaisu: | http://urn.fi/URN:NBN:fi:aalto-201510164757 |
| Sijainti: | P1 Ark Aalto 3144 | Arkisto |
| Avainsanat: | traffic traffic incident quality assessment quality criteria liikenne liikennehäiriö laadunarviointi laatukriteerit |
| Tiivistelmä (eng): | Road incidents are a significant factor in traffic delays. In Finland, approximately 65 % of traffic delays are connected to different types of incidents. While incidents themselves are difficult to eliminate altogether, their impact can be diminished with precise incident reporting. EIP (European ITS Platform) project, invoked by the ITS (Intelligent Transportation Systems) directive adopted by the European Parliament and the Council, states explicit quality criteria for different traffic information types. This thesis is focused on the reporting quality of traffic incidents. The criteria set for real-time traffic information (RTTI) includes spatial, temporal, and spatio-temporal measures. Incident reporting quality measures are implemented according to the defined criteria and tested at selected locations in the Finnish road network. The traffic incident information quality assessment was performed by comparing incident data provided by the Finnish Transportation Agency to detected incidents from HERE traffic service and emergency mission data from the Finnish Emergency Response Centre. Based on the quality assessment results, this thesis provides the level of reporting quality of traffic incidents in Finland. The developed incident detection methods proved very promising but require more study. Based on the observed detection performance, the speed data alone was deemed insufficient for incident detection baseline data. Despite the difficulties, criteria calculations could be performed and the overall incident information quality in Finland achieved basic levels. The basic principles in the incident detection process can also be used to detect traffic incidents in real-time, provided that additional traffic data can be obtained in the future. Additionally, this thesis proposes a solution for incident information quality assurance which can be used to monitor the traffic incident information quality against the defined criteria quality levels. Control charts and a special four-field presentation methods were defined for traffic incident information monitoring. These tools provide a real-time view of the incident information quality alongside the defined quality levels and show typical criteria value configuration cases. |
| ED: | 2015-11-08 |
INSSI tietueen numero: 52364
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