Pregled bibliografske jedinice broj: 848237
Travel time prediction using speed profiles for road network of Croatia
Travel time prediction using speed profiles for road network of Croatia // Proceedings of ELMAR-2016 / Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka (ur.).
Zagreb: IEEE, Faculty of Electrical Engineering and Computing, University of Zagreb, 2016. str. 97-100 doi:10.1109/ELMAR.2016.7731763 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 848237 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Travel time prediction using speed profiles for road network of Croatia
Autori
Erdelić, Tomislav ; Ravlić, Martina ; Carić, Tonči
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of ELMAR-2016
/ Muštra, Mario ; Tralić, Dijana ; Zovko-Cihlar, Branka - Zagreb : IEEE, Faculty of Electrical Engineering and Computing, University of Zagreb, 2016, 97-100
ISBN
9789531842211
Skup
58th International Symposium ELMAR 2016.
Mjesto i datum
Zadar, Hrvatska, 12.09.2016. - 14.09.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Clustering ; First-in-first-out Property ; Speed Profile ; Time Dependent Shortest Path Algorithm ; Travel Time Prediction
Sažetak
Prediction of travel time through the road network has a important part in traffic management systems and traveler information systems. Compared to the currently used constant speeds along the roads in Croatia, the speed profiles provide the information about time dependent speeds along the roads and increase the accuracy in travel time predictions. This way the overall costs of transportation can be reduced in both logistics and every day transportation. In this paper the processing of speed profiles for use in time dependent shortest path algorithm is performed which includes clustering, smoothing and first- in- first-out (FIFO) property analysis. The travel time predictions using different sets of speed profiles, dependent on cluster size and seasons, are compared to the real measured travel times. The results show the overall increase in accuracy of travel time prediction using speed profiles compared to constant speeds along the roads by at least 10 %.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus