A traffic-condition-based route guidance strategy for a single destination road network

Transportation Research Part C: Emerging Technologies

Volumn 32, Issue , 2013, Pages 89-102

  He, Zhengbing ^a   Guan, Wei ^a   Ma, Shoufeng ^b  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b TIANJIN UNIVERSITY   (China)

Author keywords

Road network; Route guidance; Simulation model; Traffic conditions; User optimal equilibrium

Indexed keywords

COMPLEX NETWORKS; ROADS AND STREETS; TRAFFIC CONTROL; TRANSPORTATION ROUTES; TRAVEL TIME;

ALTERNATIVE ROUTES; ROAD NETWORK; ROUTE GUIDANCE; SIMULATION MODEL; SPLITTING RATES; TRAFFIC CONDITIONS; TRAFFIC DEMANDS; URBAN ROAD NETWORKS;

MOTOR TRANSPORTATION;

COMPUTER SIMULATION; NUMERICAL MODEL; ROAD TRANSPORT; STRATEGIC APPROACH; TRAFFIC CONGESTION; TRAVEL DEMAND; TRAVEL TIME; URBAN TRANSPORT;

EID: 84878162478     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2013.04.005     Document Type: Article

References (32)

1. Ban X.J., Pang J.S., Liu H.X., Ma R. Continuous-time point-queue models in dynamic network loading. Transportation Research Part B: Methodological 2012, 46:360-380.
2. Chiu Y.C., Huynh N. Location configuration design for dynamic message signs under stochastic incident and ATIS scenarios. Transportation Research Part C: Emerging Technologies 2007, 15:33-50.
3. Daganzo, C., 1996. The nature of freeway gridlock and how to prevent it. In: Lesort, J. (Ed.), Proceedings of the 13th International Symposium on Transportation and Traffic Theory, pp. 629-646.
4. Daganzo C. Queue spillovers in transportation networks with a route choice. Transportation Science 1998, 32:3-11.
5. Daganzo, C.F., 1997. Fundamentals of Transportation and Traffic Operations. Pergamon.
6. Daganzo C.F. Urban gridlock: macroscopic modeling and mitigation approaches. Transportation Research Part B: Methodological 2007, 41:49-62.
7. Deflorio F. A routing feedback strategy for urban road networks. Proceedings of 7th World Congress on ITS (Turin) 2000, 1-8. ITS.
8. Deflorio F. Evaluation of a reactive dynamic route guidance strategy. Transportation Research Part C: Emerging Technologies 2003, 11:375-388.
9. Jifeng Wu G.L.C. Heuristic method for optimal diversion control in freeway corridors. Transportation Research Record: Journal of the Transportation Research Board 1999, 1667:8-15.
10. Jin W., Zhang H.M. On the distribution schemes for determining flows through a merge. Transportation Research Part B: Methodological 2003, 37:521-540.
11. Kotsialos A., Papageorgiou M. Coordinated and integrated control of motorway networks via non-linear optimal control. Transportation Research Part C: Emerging Technologies 2002, 10:65-84.
12. Lago A., Daganzo C.F. Spillovers, merging traffic and the morning commute. Transportation Research Part B: Methodological 2007, 41:670-683.
13. Laval J. Graphical solution and continuum approximation for the single destination dynamic user equilibrium problem. Transportation Research Part B: Methodological 2009, 43:108-118.
14. Liu Y., Chang G.l. An integrated control model for freeway corridor under non-recurrent congestion. IEEE Transactions on Intelligent Transportation Systems 2011, 60:1404-1418.
15. Messmer A., Papageorgiou M., Mackenzie N. Automatic control of variable message signs in the interurban Scottish highway network. Transportation Research Part C: Emerging Technologies 1998, 6:173-187.
16. Messner A. METANET: a macroscopic simulation program for motorway networks. Traffic Engineering and Control 1990, 31:466-470.
17. Muñoz J.C., Laval J.a. System optimum dynamic traffic assignment graphical solution method for a congested freeway and one destination. Transportation Research Part B: Methodological 2006, 40:1-15.
18. Newell G. Applications of Queueing Theory 1982, Chapman and Hall, London.
19. Newell G. The morning commute for non-identical travelers. Transportation Science 1987, 21:74-88.
20. Nie X., Zhang H.M. A comparative study of some macroscopic link models used in dynamic trafc assignment.pdf. Networks and Spatial Economics 2005, 89-115.
21. Nie Y., Ma J., Zhang H. A polymorphic dynamic network loading model. Computer-Aided Civil and Infrastructure 2008, 23:86-103.
22. Papageorgiou M. Dynamic modeling, assignment, and route guidance in traffic networks. Transportation Research Part B: Methodological 1990, 24:471-495.
23. Papageorgiou M., Ben-Akiva M., Bottom J., Bovy P., Hoogendoorn S., Hounsell N., Kotsalos A., McDonald M. ITS and traffic management. Handbook in OR and MS 2007, Elsevier B.V., (Chapter 11). C. Barnhart, G. Laporte (Eds.).
24. Pavlis Y., Papageorgiou M. Simple decentralized feedback strategies for route guidance in traffic networks. Transportation Science 1999, 33:264-278.
25. Sawaya O., Doan D. Predictive time-based feedback control approach for managing freeway incidents. Transportation Research Record: Journal of Transportation Research Board 2000, 79-84.
26. Szeto W.Y., Lo H.K. Dynamic traffic assignment: properties and extensions. Transportmetrica 2006, 2:31-52.
27. Wang Y., Papageorgiou M. Feedback routing control strategies for freeway networks: a comparative study. Proceedings of the 2nd International Conference on Traffic and Transportation Studies 2000, 642-649. ASCE.
28. Wang Y., Papageorgiou M. Real-Time Route Guidance for Large-Scale Express Ring-Roads. ITSC'06 2006, IEEE, pp. 224-229.
29. Wang, Y., Papageorgiou, M., Messmer, A., De, A.M., 2002a. A predictive feedback routing control strategy for freeway network traffic. In: Proceedings of the American Control Conference.
30. Wang Y., Papageorgiou M., Messmer A. Feedback and iterative routing strategies for freeway networks. Proceedings of the 2001 IEEE International Conference on Control Applications, 2001 (CCA'01) 2001, 1162-1167. IEEE.
31. Wang, Y., Papageorgiou, M., Messmer, A., 2002b. Performance evaluation of predictive feedback routing for freeway networks. In: IFAC World Congress on Automatic Control, Barcelona, Spain, pp. 365-378.
32. Windover J. Some observed details of freeway traffic evolution. Transportation Research Part A: Policy and Practice 2001, 35:881-894.