Green vehicle routing in urban zones - A neuro-fuzzy approach

Expert Systems with Applications

Volumn 41, Issue 7, 2014, Pages 3189-3203

  Jovanović, Aleksandar D ^a   Pamučar, Dragan S ^b   Pejčić Tarle, Snežana ^c  

^a High Technical School of Professional Studies   (Serbia)

^b University of Defence in Belgrade   (Serbia)

^c UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Fuzzy logic; Green vehicles; Public transport; Vehicle routing

Indexed keywords

ADAPTIVE NEURAL NETWORKS; ENVIRONMENTAL PARAMETER; NON-LINEAR OPTIMIZATION; PASSENGER TRANSPORTATION; PUBLIC TRANSPORT; PUBLIC TRANSPORT SYSTEMS; PUBLIC TRANSPORT VEHICLES; PUBLIC TRANSPORTATION NETWORKS;

FUZZY LOGIC; GREENHOUSE GASES; MASS TRANSPORTATION; TRANSPORTATION ROUTES; VEHICLE ROUTING;

VEHICLES;

EID: 84890461698     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.11.015     Document Type: Article

References (45)

1. M.H. Baaj, and H.S. Mahmassani Hybrid route generation heuristic algorithm for the design of transit networks Transportation Research Part C 3 1 1995 31 50
2. J. Bauer, T. Bektas, and T.G. Crainic Minimizing greenhouse gas emissions in intermodal freight transport: an application to rail service design Journal of the Operational Research Society 61 2010 530 542
3. T. Bektas, and G. Laporte The pollution-routing problem Transportation Research Part B 45 2011 1232 1250
4. B. Beltran, S. Carrese, E. Cipriani, and M. Petreli Transit network design with allocation of green vehicles: A genetic algorithm approach Transportation Research Part C 17 5 2009 475 483
5. S. Carrese, and S. Gori An urban bus network design procedure Transportation Planning 64 2004 177 196
6. E. Cipriani, G. Fusco, and M. Petrelli A multimodal transit network design procedure for urban areas Transportation Research Board 10 2006 5 20
7. G.B. Dantzig, and J.H. Ramser The truck dispatching problem Management Science 6 1 1959 80 91
8. E. Demir, T. Bektas, and G. Laporte An adaptive large neighborhood search heuristic for the pollution-routing problem European Journal of Operational Research 223 2012 346 359
9. S. Erdogan, and E. Miller-Hooks A green vehicle routing problem Transportation Research Part E 48 1 2012 100 114
10. European Environment Agency (EEA) (2013). The impact of international shipping on European air quality and climate forcing, Copenhagen, European Environment Agency.
11. European Federation of Allergy and Airways Diseases Patients' Associations (EFA). (2011). EFA Book on Respiratory Allergy in Europe: Relieve the Burden, EFA.
12. K. Fagerholt, G. Laporte, and I. Norstad Reducing fuel emissions by optimizing speed on shipping routes Journal of the Operational Research Society 61 2010 523 529
13. W. Fan, and R.B. Machemehl Optimal transit route network design problem with variable transit demand: genetic algorithm approach Journal of Transportation Engineering 132 1 2006 40 51
14. J. Faulin, A. Juan, F. Lera, and S. Grasman Solving the capacitated vehicle routing problem with environmental criteria based on real estimations in road transportation: A case study Procedia-Social and Behavioral Sciences 20 2011 323 334
15. G. Fusco, S. Gori, and M. Petrelli A heuristic transit network design algorithm for medium size towns. 9th Euro working group on transportation Bari 2002 2002 652 656
16. J.S.R. Jang ANFIS: Adaptive-network-based fuzzy inference system IEEE Transactions on Systems, Man and Cybernetics 23 1993 665 685
17. Y. Kuo Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem Computers & Industrial Engineering 59 1 2010 157 165
18. Lin, C.; Choy, K.L.; Ho, G.T.S.; Chung, S.H. and Lam, H.Y. (2013). Survey of green vehicle routing problem: past and future trends. Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2013.07.107.
19. W. Maden, R. Eglese, and D. Black Vehicle routing and scheduling with timevarying data: A case study Journal of the Operational Research Society 61 2010 515 522
20. Y. Marinakis Multiple phase neighborhood search-GRASP for the capacitated vehicle routing problem Expert Systems with Applications 39 8 2012 6807 6815
21. 2 Emissions from freight transport in the UK. Technical Report. Prepared for the Climate Change Working Group of the Commission for Integrated Transport, London, UK.
22. Mu, Q. and Eglese, R. W. (2011). Disrupted capacitated vehicle routing problem with order release delay. Annals of Operations Research. http://dx.doi.org/10.1007/s10479-011-0947-7.
23. L. Muyldermans, and G. Pang On the benefits of co-collection: Experiments with a multi-compartment vehicle routing algorithm European Journal of Operational Research 206 1 2010 93 103
24. S. Ngamchai, and D.J. Lovell Optimal time transfer in bus transit route network design using a genetic algorithm Journal of Transportation Engineering 129 5 2003 510 521
25. P.K. Nguyen, T.G. Crainic, and M. Toulouse A tabu search for time-dependent multi-zone multi-trip vehicle routing problem with time windows European Journal of Operational Research 231 1 2013 43 56
26. Palmer, A. (2007). The Development of an integrated routing and carbon dioxide emissions model for goods vehicles. Ph.D. thesis, Cranfield University, School of Management.
27. K.W. Pang An adaptive parallel route construction heuristic for the vehicle routing problem with time windows constraints Expert Systems with Applications 38 9 2011 11939 11946
28. Pronello, C. and André, M. (2000). Pollutant emissions estimation in road transport models. INRETS-LTE Report.
29. Sbihi, A. and Eglese, R. W. (2007). The relationship between vehicle routing and scheduling and green logistics-a literature survey. Lancaster University Management School Working Paper.
30. C. Schreyer, C. Schneider, M. Maibach, W. Rothengatter, C. Doll, and D. Schmedding External costs of transport 2004 Update study Zurich/Karlsruhe
31. Serbian Department of Energy (SDE). (2013). The Alternative Fuels and Advanced Vehicles Data Center. (accessed 24.02.13).
32. Serbian Environmental Protection Agency (SEPA). (2012). Environment in Serbia, Serbian environment agency, Belgrade, Serbia.
33. Serbian Environmental Protection Agency (SEPA). (2013). National network for monitoring air quality. Serbian Environment Agency, Serbia.
34. F. Shang, and L. Xu A hybrid knowledge-based system for urban development Expert Systems with Applications 10 1 1996 157 163
35. Y. Shi, and M. Mizumoto A new approach of neuro-fuzzy learning algorithm for tuning fuzzy rules Fuzzy Sets and Systems 112 1 2000 99 116
36. J. Shing, and R. Jang ANFIS: Adaptive network - based fuzzy inference system IEEE Transactions on Systems, Man, and Cybernetics 23 3 1993 665 685
37. J. Shing, and R. Jang Neuro - fuzzy modeling and control The Proceeding of the IEEE 83 3 1995 378 406
38. A. Stenger, D. Vigo, S. Enz, and M. Schwind An adaptive variable neighborhood search algorithm for a vehicle routing problem arising in small package shipping Transportation Science 47 1 2013 64 80
39. Y. Suzuki A new truck-routing approach for reducing fuel consumption and pollutants emission Transportation Research Part D 16 1 2011 73 77
40. Y. Tao, and Y. Xinmiao Fuzzy comprehensive assessment, fuzzy clustering analysis and its application for urban traffic environment quality evaluation Transportation Research Part D 3 1 1998 51 57
41. A.S. Tasan, and M. Gen A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries Computer & Industrial Engineering 62 3 2012 755 761
42. S. Ubeda, F.J. Arcelus, and J. Faulin Green logistics at Eroski: A case study International Journal of Production Economics 131 1 2011 44 51
43. T. Vidal, T.G. Crainic, M. Gendreau, and C. Prins A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows Computers & Operations Research 40 1 2013 475 489
44. Y. Xiao, Q. Zhao, I. Kaku, and Y. Xu Development of a fuel consumption optimization model for the capacitated vehicle routing problem Computers and Operations Research 39 7 2011 1419 1431
45. H.J. Zimmermann An application - oriented view of modelling uncertainty European Journal of Operational Research 122 2 2000 190 198