Cooperative traffic control management for city logistic routing

Transportation Research Procedia

Volumn 10, Issue , 2015, Pages 673-682

  Köster, Felix ^a   Ulmer, Marlin W ^a   Mattfeld, Dirk C ^a  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

City Logistic; Dynamic Vehicle Routing; Stochastic Travel Times; Time Dependent Travel Times; Traffic Management; Vehicle Routing

Indexed keywords

EID: 84959370334     PISSN: 23521457     EISSN: 23521465     Source Type: Conference Proceeding    
DOI: 10.1016/j.trpro.2015.09.021     Document Type: Conference Paper

References (40)

1. E. Brockfeld, R. Barlovic, A. Schadschneider, and M. Schreckenberg Optimizing traffic lights in a cellular automaton model for city traffic. Physical Review E 64 2001 056132
2. D. Cattaruzza, N. Absi, D. Feillet, and J. González-Feliu Vehicle routing problems for city logistics EURO Journal on Transportation and Logistics 2015 1 29
3. T.G. Crainic, M. Gendreau, and J.Y. Potvin Intelligent freight-transportion systems: Assessment and the contribution of operations research Transportation Research Part C: Emerging Technologies 17 2009 541 557
4. L. Dablanc Goods transport in large european cities: Difficult to organize, difficult to modernize Transportation Research Part A: Policy. and Practice 41 2007 280 285
5. K. Dresner, and P. Stone Multiagent traffic management: An improved intersection control mechanism, in: Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, ACM. p 2005 471 477
6. J.F. Ehmke Integration of Information and Optimization Models for Routing in City Logistics. Springer 177 2012
7. J.F. Ehmke, A.M. Campbell, and T.L. Urban Ensuring service levels in routing problems with time windows and stochastic travel times European Journal of Operational Research 240 2015 539 550
8. Ehmke, J.F., Mattfeld, D.C., 2010. Data allocation and application for time-dependent vehicle routing in city logistics.
9. J.F. Ehmke, A. Steinert, and D.C. Mattfeld Advanced routing for city logistics service providers based on time-dependent travel times Journal of computational science 3 2012 193 205
10. M.R. Endsley, and M.D. Rodgers Situation awareness information requirements analysis for en route air traffic control, in: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications. p 1994 71 75
11. B. Fleischmann, M. Gietz, and S. Gnutzmann Time-varying travel times in vehicle routing Transportation science 38 2004 160 173
12. S. Gao, and I. Chabini Optimal routing policy problems in stochastic time-dependent networks Transportation Research Part B: Methodological 40 2006 93 122
13. R. Gevaers, E. Van de Voorde, and T. Vanelslander Characteristics and typology of last-mile logistics from an innovation perspective in an urban context. City distribution and urban freight transport: multiples perspectives, Northampton, Edward Elgar Publishing 2011 56 71
14. Groß, P.O., Ulmer, M.W., Ehmke, J.F., Mattfeld, D.C., Exploiting travel time information for reliable routing in city logistics.
15. S. Ichoua, M. Gendreau, and J.Y. Potvin Vehicle dispatching with time-dependent travel times European journal of operational research 144 2003 379 396
16. P. Kall, and S. Wallace Stochastic Programming 1994 John Wiley & Sons
17. A.S. Kenyon, and D.P. Morton Stochastic vehicle routing with random travel times Transportation Science 37 2003 69 82
18. Kim, G., Ong, Y.S., Heng, C.K., Tan, P.S., Zhang, N.A., City vehicle routing problem (city vrp): A review.
19. G. Laporte, F. Louveaux, and H. Mercure The vehicle routing problem with stochastic travel times Transportation science 26 1992 161 170
20. C. Lecluyse, T. Van Woensel, and H. Peremans Vehicle routing with stochastic time-dependent travel times 4OR 7 2009 363 377
21. X. Li, P. Tian, and S.C. Leung Vehicle routing problems with time windows and stochastic travel and service times: Models and algorithm International Journal of Production Economics 125 2010 137 145
22. C. Malandraki, and M.S. Daskin Time dependent vehicle routing problems: Formulations, properties and heuristic algorithms Transportation science 26 1992 185 200
23. C. Malandraki, and R.B. Dial A restricted dynamic programming heuristic algorithm for the time dependent traveling salesman problem European Journal of Operational Research 90 1996 45 55
24. L.M. McCarthy, and P.L. Knox Urbanization: An introduction to urban geography 2005 Pearson Prentice Hall
25. E. Morganti, S. Seidel, C. Blanquart, L. Dablanc, and B. Lenz The impact of e-commerce on final deliveries: Alternative parcel delivery services in france and germany Transportation Research Procedia 4 2014 178 190
26. A.G. Novaes, E.M. Frazzon, and P.J. Burin Dynamic vehicle routing in over congested urban areas, in: Dynamics in Logistics Springer 2011 49 58
27. M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, and Y. Wang Review of road traffic control strategies Proceedings of the IEEE. 91 2003 2043 2067
28. V. Pillac, M. Gendreau, C. Guéret, and A.L. Medaglia A review of dynamic vehicle routing problems European Journal of Operational Research 225 2013 1 11
29. L.R. Rilett, and D. Park Direct forecasting of freeway corridor travel times using spectral basis neural networks Transportation Research Record: Journal of the Transportation Research Board 1752 2001 140 147
30. J.P. Rodrigue Transportation and the geographical and functional integration of global production networks. Growth and Change 37 2006 510 525
31. S. Susilawati, M.A. Taylor, and S.V. Somenahalli Distributions of travel time variability on urban roads Journal of Advanced Transportation 47 2013 720 736
32. E. Taniguchi, and H. Shimamoto Intelligent transportation system based dynamic vehicle routing and scheduling with variable travel times Transportation Research Part C: Emerging Technologies 12 2004 235 250
33. E. Taniguchi, and R.G. Thompson Modeling city logistics Transportation Research Record: Journal of the Transportation Research Board 1790 2002 45 51
34. Taniguchi, E., Thompson, R.G., Yamada, T., Van Duin, R., 2001. City Logistics. Network modelling and intelligent transport systems.
35. D. Taş, N. Dellaert, T. Van Woensel, and T. De Kok Vehicle routing problem with stochastic travel times including soft time windows and service costs Computers & Operations Research 40 2013 214 224
36. Ulmer, M.W., Mattfeld, D.C., Hennig, M., Goodson, J.C., 2015. A rollout algorithm for vehicle routing with stochastic customer requests, in: Logistics Management. Springer.
37. T. Van Woensel, L. Kerbache, H. Peremans, and N. Vandaele Vehicle routing with dynamic travel times: A queueing approach European journal of operational research 186 2008 990 1007
38. E.I. Vlahogianni, J.C. Golias, and M.G. Karlaftis Short-term traffic forecasting: Overview of objectives and methods Transport reviews 24 2004 533 557
39. Q. Yang, and H.N. Koutsopoulos A microscopic traffic simulator for evaluation of dynamic traffic management systems Transportation. Research Part C: Emerging Technologies 4 1996 113 129
40. V. Zeimpekis, G.M. Giaglis, and I. Minis A dynamic real-timefleet management system for incident handling in city logistics, in: Vehicular Technology Conference, 2005 VTC 2005-Spring. 2005 IEEE 61st, IEEE. 2005 2900 2904