TY - GEN
T1 - DynaMIT2.0
T2 - 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
AU - Lu, Yang
AU - Seshadri, Ravi
AU - Pereira, Francisco
AU - Osullivan, Aidan
AU - Antoniou, Constantinos
AU - Ben-Akiva, Moshe
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - The ability to monitor and predict in real-time the state of the transportation network is a valuable tool for both transportation administrators and travellers. While many solutions exist for this task, they are generally much more successful in recurrent scenarios than in non-recurrent ones. Paradoxically, it is in the latter case that such tools can make the difference. Therefore, the dynamic traffic assignment and simulation based prediction system such as DynaMIT (1) demonstrates high effectiveness in the context of sudden network disturbance or demand pattern changes. This paper presents the design, development and implementation of new components and modules of DynaMIT 2.0 which is an extension of its predecessor with recent enhancements on online calibration, context mining, scenario analyser and strategy simulation capability. Also, some preliminary results are presented using Singapore expressway to show the actual benefit of the system.
AB - The ability to monitor and predict in real-time the state of the transportation network is a valuable tool for both transportation administrators and travellers. While many solutions exist for this task, they are generally much more successful in recurrent scenarios than in non-recurrent ones. Paradoxically, it is in the latter case that such tools can make the difference. Therefore, the dynamic traffic assignment and simulation based prediction system such as DynaMIT (1) demonstrates high effectiveness in the context of sudden network disturbance or demand pattern changes. This paper presents the design, development and implementation of new components and modules of DynaMIT 2.0 which is an extension of its predecessor with recent enhancements on online calibration, context mining, scenario analyser and strategy simulation capability. Also, some preliminary results are presented using Singapore expressway to show the actual benefit of the system.
UR - http://www.scopus.com/inward/record.url?scp=84950294326&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2015.363
DO - 10.1109/ITSC.2015.363
M3 - Conference contribution
AN - SCOPUS:84950294326
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2250
EP - 2255
BT - Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 September 2015 through 18 September 2015
ER -