CoChat
Sign Up
Cited by 90Vehicle Routing Optimization MethodsUrban and Freight Transport LogisticsTransportation Planning and Optimization

The DOI matches its Crossref record.

The continuous pollution routing problem

Open access
Xiao, Yiyong, Zuo, Xiaorong, Huang, Jiaoying, Konak, Abdullah, Xu, Yuchun·2020·Applied Mathematics and Computation
DOI 10.1016/j.amc.2020.125072
Open this paper in CoChat — free accountOpen PDF

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.amc.2020.125072

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 37

  1. Barth, 2008, Real-world CO2 impacts of traffic congestion, Transp. Res. Rec. J. Transp. Res. Board, 2058, 163, 10.3141/2058-20 · DOI
  2. Bektas, 2011, The pollution-routing problem, Transp. Res. Part B, 45, 1232, 10.1016/j.trb.2011.02.004 · DOI · Paper page
  3. Castillo, 2005, An ε-accurate model for optimal unequal area facility layout, Comput. Oper. Res., 32, 429, 10.1016/S0305-0548(03)00246-6 · DOI
  4. Dabia, 2017, An exact approach for a variant of the pollution-routing problem, Transp. Sci., 51, 607, 10.1287/trsc.2015.0651 · DOI
  5. Demir, 2012, An adaptive large neighborhood search heuristic for the pollution-routing problem, Eur. J. Oper. Res., 223, 346, 10.1016/j.ejor.2012.06.044 · DOI
  6. Demir, 2011, A comparative analysis of several vehicle emission models for road freight transportation, Transp. Res. Part D, 6, 347, 10.1016/j.trd.2011.01.011 · DOI
  7. Demir, 2014, A review of recent research on green road freight transportation, Eur. J. Oper. Res., 237, 775, 10.1016/j.ejor.2013.12.033 · DOI
  8. Demir, 2014, The bi-objective pollution-routing problem, Eur. J. Oper. Res., 232, 464, 10.1016/j.ejor.2013.08.002 · DOI
  9. Erdogan, 2012, A green vehicle routing problem, Transp. Res. Part E Logist. Transp. Rev., 48, 100, 10.1016/j.tre.2011.08.001 · DOI
  10. Eshtehadi, 2017, Robust solutions to the pollution-routing problem with demand and travel time uncertainty, Transp. Res. Part D, 51, 351, 10.1016/j.trd.2017.01.003 · DOI
  11. Figliozzi, 2010, Vehicle routing problem for emissions minimization, Transp. Res. Rec. J. Transp. Res. Board, 2197, 1, 10.3141/2197-01 · DOI
  12. Franceschetti, 2017, A metaheuristic for the time-dependent pollution-routing problem, Eur. J. Oper. Res., 259, 972, 10.1016/j.ejor.2016.11.026 · DOI
  13. Franceschetti, 2013, The time-dependent pollution-routing problem, Transp. Res. Part B, 56, 265, 10.1016/j.trb.2013.08.008 · DOI
  14. Fukasawa, 2016, A disjunctive convex programming approach to the pollution-routing problem, Transp. Res. Part B, 94, 61, 10.1016/j.trb.2016.09.006 · DOI
  15. Gaur, 2013, Routing vehicles to minimize fuel consumption, Oper. Res. Lett., 41, 576, 10.1016/j.orl.2013.07.007 · DOI
  16. Jabali, 2012, Analysis of travel times and CO2 emissions in time-dependent vehicle routing, Prod. Oper. Manag., 21, 1060, 10.1111/j.1937-5956.2012.01338.x · DOI
  17. Konak, 2006, A new mixed integer programming formulation for facility layout design using flexible bays, Oper. Res. Lett., 34, 660, 10.1016/j.orl.2005.09.009 · DOI
  18. Koc, 2014, The fleet size and mix pollution-routing problem, Transp. Res. Part B, 70, 239, 10.1016/j.trb.2014.09.008 · DOI
  19. Koç, 2016, The green vehicle routing problem: a heuristic based exact solution approach, Appl. Soft Comput., 39, 154, 10.1016/j.asoc.2015.10.064 · DOI
  20. Kramer, 2015, A speed and departure time optimization algorithm for the pollution-routing problem, Eur. J. Oper. Res., 247, 782, 10.1016/j.ejor.2015.06.037 · DOI
  21. Kramer, 2015, A matheuristic approach for the pollution-routing problem, Eur. J. Oper. Res., 243, 523, 10.1016/j.ejor.2014.12.009 · DOI
  22. Kuo, 2010, Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem, Comput. Ind. Eng., 59, 157, 10.1016/j.cie.2010.03.012 · DOI
  23. Leggieri, 2017, A practical solution approach for the green vehicle routing problem, Transp. Res. Part E, 104, 97, 10.1016/j.tre.2017.06.003 · DOI
  24. Lin, 2014, Survey of green vehicle routing problem: past and future trends, Expert Syst. Appl., 41, 1118, 10.1016/j.eswa.2013.07.107 · DOI
  25. Saka, 2017, Using cost change estimates in a local search heuristics for the pollution routing problem, OR Spectr., 39, 557, 10.1007/s00291-016-0464-9 · DOI
  26. Schneider, 2014, The electric vehicle-routing problem with time windows and recharging stations, Transp. Sci., 48, 500, 10.1287/trsc.2013.0490 · DOI
  27. Sherali, 2003, Enhanced model formulations for optimal facility layout, Oper. Res., 51, 629, 10.1287/opre.51.4.629.16096 · DOI
  28. Suzuki, 2016, A dual-objective metaheuristic approach to solve practical pollution routing problem, Int. J. Prod. Econ., 176, 143, 10.1016/j.ijpe.2016.03.008 · DOI
  29. Tajik, 2014, A robust optimization approach for pollution routing problem with pickup and delivery under uncertainty, J. Manuf. Syst., 33, 277, 10.1016/j.jmsy.2013.12.009 · DOI
  30. Wang, 2012, Sailing speed optimization for container ships in a liner shipping network, Transp. Res. Part E, 48, 701, 10.1016/j.tre.2011.12.003 · DOI
  31. Xiao, 2015, A simulating annealing algorithm to solve the green vehicle routing & scheduling problem with hierarchical objectives and weighted tardiness, Appl. Soft Comput., 34, 372, 10.1016/j.asoc.2015.04.054 · DOI
  32. Xiao, 2016, The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion, Transp. Res. Part E Logist. Transp. Rev., 88, 146, 10.1016/j.tre.2016.01.011 · DOI
  33. Xiao, 2017, A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem, J. Clean Prod., 167, 1450, 10.1016/j.jclepro.2016.11.115 · DOI
  34. Xiao, 2017, A problem evolution algorithm with linear programming for the dynamic facility layout problem—A general layout formulation, Comput. Oper. Res., 88, 187, 10.1016/j.cor.2017.06.025 · DOI
  35. Xiao, 2012, Development of a fuel consumption optimization model for the capacitated vehicle routing problem, Comput. Oper. Res., 39, 1419, 10.1016/j.cor.2011.08.013 · DOI · Paper page
  36. Xie, 2018, A β-accurate linearization method of Euclidean distance for the facility layout problem with heterogeneous distance metrics, Eur. J. Oper. Res., 265, 26, 10.1016/j.ejor.2017.07.052 · DOI
  37. Zhang, 2015, Vehicle routing problem with fuel consumption and carbon emission, Int. J. Prod. Econ., 170, 234, 10.1016/j.ijpe.2015.09.031 · DOI

Cited by

Sorted by citations

Metadata

Authors
Xiao, Y., Zuo, X., Huang, J., Konak, A., & Xu, Y.
Affiliations
  • Beihang University (CN)
  • Pennsylvania State University (US)
  • Aston University (GB)
Corresponding author
Huang, Jiaoying
ORCID
Venue
Applied Mathematics and Computation
Publisher
Elsevier BV
Published
2020-12
Volume
387
Pages
125072
ISSN
0096-3003 (ISSN-L)
DOI
10.1016/j.amc.2020.125072
OpenAlex
W3005489823
Cited by
90
References
0
Citations by year
2026: 3 · 2025: 8 · 2024: 13 · 2023: 37 · 2022: 24 · 2021: 2 · 2020: 3
FWCI
10.52
Type
journal article
Language
en
Open access
Licence
Locations
  • Applied Mathematics and Computation (publishedVersion)
  • Aston Publications Explorer (Aston University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
National Natural Science Foundation of China
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
  • Social Sciences › Transportation › Urban and Freight Transport Logistics
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
pollution routing problem, polyhedral approximation, fuel consumption rate, linearization, linear programming model, vehicle routing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review