Recent Developments and Prospects for Modeling City Logistics

[1]  Thibaut Vidal,et al.  A matheuristic approach for the Pollution-Routing Problem , 2014, Eur. J. Oper. Res..

[2]  Michiel C.J. Bliemer,et al.  Optimal location of open access urban container terminals under elastic cargo demand , 2016 .

[3]  Harilaos N. Psaraftis,et al.  Scheduling Large-Scale Advance-Request Dial-A-Ride Systems , 1986 .

[4]  Lóránt Tavasszy,et al.  Validation of an agent based model using a participatory simulation gaming approach : The case of city logistics , 2016 .

[5]  Jacques Leonardi,et al.  Evaluating the use of an urban consolidation centre and electric vehicles in central London , 2011 .

[6]  Hajo A. Reijers,et al.  The Share-a-Ride problem with stochastic travel times and stochastic delivery locations , 2016 .

[7]  Fakhri Karray,et al.  Recent Advances on Context-Awareness and Data/Information Fusion in ITS , 2014, International Journal of Intelligent Transportation Systems Research.

[8]  Roberto Baldacci,et al.  An Exact Algorithm for the Pickup and Delivery Problem with Time Windows , 2011, Oper. Res..

[9]  Russell Bent,et al.  A Two-Stage Hybrid Local Search for the Vehicle Routing Problem with Time Windows , 2004, Transp. Sci..

[10]  Javier Faulin,et al.  Impact of the use of electric vehicles in collaborative urban transport networks: A case study , 2017 .

[11]  Maged M. Dessouky,et al.  A new insertion-based construction heuristic for solving the pickup and delivery problem with time windows , 2006, Eur. J. Oper. Res..

[12]  Kah Phooi Seng,et al.  Big Sensor Data Applications in Urban Environments , 2016, Big Data Res..

[13]  Eiichi Taniguchi,et al.  The trade-off between fixed vehicle costs and time-dependent arrival penalties in a routing problem , 2014 .

[14]  Fabien Lehuédé,et al.  A shared " passengers & goods " city logistics system , 2012, ICIS 2012.

[15]  Khaled A El-Rayes,et al.  Optimizing Postdisaster Reconstruction Planning for Damaged Transportation Networks , 2009 .

[16]  Dong-wan Tcha,et al.  A column generation approach to the heterogeneous fleet vehicle routing problem , 2007, Comput. Oper. Res..

[17]  Eiichi Taniguchi,et al.  Bi-objective decision support system for routing and scheduling of hazardous materials , 2014 .

[18]  Daniele Vigo,et al.  The Hybrid Electric Vehicle - Traveling Salesman Problem , 2016, Eur. J. Oper. Res..

[19]  Iradj Ouveysi,et al.  Optimization of Transit Priority in the Transportation Network Using a Decomposition Methodology , 2011 .

[20]  Douglas L. McWilliams Simulation-based scheduling for parcel consolidation terminals: a comparison of iterative improvement and simulated annealing , 2005, Proceedings of the Winter Simulation Conference, 2005..

[21]  Yu-Hsuan Huang,et al.  Ant Colony Optimization for the Single Vehicle Pickup and Delivery Problem with Time Window , 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

[22]  Abbas Rajabifard,et al.  Identifying Achilles-heel roads in real-sized networks , 2017 .

[23]  Michel Gendreau,et al.  A review of dynamic vehicle routing problems , 2013, Eur. J. Oper. Res..

[24]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[25]  George B. Dantzig,et al.  Decomposition Principle for Linear Programs , 1960 .

[26]  Teodor Gabriel Crainic,et al.  Physical Internet Enabled Hyperconnected City Logistics , 2016 .

[27]  Eiichi Taniguchi,et al.  MULTI-AGENT MODELLING FOR EVALUATING DYNAMIC VEHICLE ROUTING AND SCHEDULING SYSTEMS , 2007 .

[28]  Alexander Gutfraind,et al.  Optimal recovery of damaged infrastructure network , 2012, ArXiv.

[29]  Dominique Feillet,et al.  A tutorial on column generation and branch-and-price for vehicle routing problems , 2010, 4OR.

[30]  Jesús Muñuzuri,et al.  How efficient is city logistics? Estimating ecological footprints for urban freight deliveries , 2010 .

[31]  Belén Melián-Batista,et al.  A bi-objective vehicle routing problem with time windows: A real case in Tenerife , 2014, Appl. Soft Comput..

[32]  Gilbert Laporte,et al.  An Integer L-Shaped Algorithm for the Capacitated Vehicle Routing Problem with Stochastic Demands , 2002, Oper. Res..

[33]  Eiichi Taniguchi,et al.  Modeling City Logistics , 2002 .

[34]  Angélica Lozano,et al.  Hazardous materials transportation in Mexico City: Chlorine and gasoline cases , 2011 .

[35]  Jean-François Cordeau,et al.  Branch and Cut and Price for the Pickup and Delivery Problem with Time Windows , 2009, Transp. Sci..

[36]  Gilbert Laporte,et al.  The Pollution-Routing Problem , 2011 .

[37]  Eiichi Taniguchi,et al.  MULTI-AGENT SIMULATION USING ADAPTIVE DYNAMIC PROGRAMMING IN THE EXISTENCE OF URBAN CONSOLIDATION CENTERS , 2017 .

[38]  Jean-Christophe Deschamps,et al.  Modelling and solution approaches for the interconnected city logistics , 2017, Int. J. Prod. Res..

[39]  Kamlesh Mathur,et al.  Stochastic Vehicle Routing Problem with Restocking , 2000, Transp. Sci..

[40]  Thibaut Vidal,et al.  Hours of Service Regulations in Road Freight Transport: An Optimization-based International Assessment , 2012, Transp. Sci..

[41]  Jacques Desrosiers,et al.  2-Path Cuts for the Vehicle Routing Problem with Time Windows , 1997, Transp. Sci..

[42]  Gwo-Hshiung Tzeng,et al.  Multicriteria Planning of Post‐Earthquake Sustainable Reconstruction , 2002 .

[43]  David Pisinger,et al.  An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows , 2006, Transp. Sci..

[44]  R. van Duin,et al.  Ontology-based multi-agent system for urban freight transportation , 2014 .

[45]  Eran Feitelson,et al.  The implications of differential network flexibility for spatial structures , 2000 .

[46]  Abbas Rajabifard,et al.  An intelligent disaster decision support system for increasing the sustainability of transport networks , 2015 .

[47]  Tien Fang Fwa,et al.  Urban transportation and logistics : health, safety, and security concerns , 2014 .

[48]  Gilbert Laporte,et al.  STOCHASTIC VEHICLE ROUTING. , 1996 .

[49]  Matthew W. Rohrer Simulation and cross docking , 1995, WSC '95.

[50]  Joeri Van Mierlo,et al.  Exploring the choice of battery electric vehicles in city logistics: A conjoint-based choice analysis , 2016 .

[51]  Michael A. P. Taylor,et al.  An accessibility approach in assessing regional road network vulnerability , 2008 .

[52]  Kathryn A. Dowsland,et al.  A comparative review of 3D container loading algorithms , 2016, Int. Trans. Oper. Res..

[53]  M A P Taylor,et al.  Network Vulnerability: An Approach to Reliability Analysis at the Level of National Strategic Transport Networks , 2003 .

[54]  Jianyang Zhou Routing by Mixed Set Programming , 2009 .

[55]  Hajo A. Reijers,et al.  An adaptive large neighborhood search heuristic for the share-a-ride problem , 2016, Comput. Oper. Res..

[56]  Martin W. P. Savelsbergh,et al.  50th Anniversary Invited Article - City Logistics: Challenges and Opportunities , 2016, Transp. Sci..

[57]  Richard F. Hartl,et al.  A survey on pickup and delivery problems , 2008 .

[58]  Simona Mancini,et al.  The Hybrid Vehicle Routing Problem , 2017 .

[59]  Bernhard Fleischmann,et al.  Dynamic Vehicle Routing Based on Online Traffic Information , 2004, Transp. Sci..

[60]  Russell G. Thompson,et al.  Implementing High Productivity Freight Vehicles in Urban Areas , 2014 .

[61]  Michel Gendreau,et al.  An Adaptive Large Neighborhood Search for a Vehicle Routing Problem with Multiple Trips , 2010 .

[62]  de Ag Ton Kok,et al.  Analysis of Travel Times and CO2 Emissions in Time‐Dependent Vehicle Routing , 2012 .

[63]  Wu He,et al.  How the Internet of Things can help knowledge management: a case study from the automotive domain , 2017, J. Knowl. Manag..

[64]  Maria Boile,et al.  Electric Vehicle Routing Problem with Industry Constraints: Trends and Insights for Future Research☆ , 2014 .

[65]  Yiyo Kuo,et al.  Optimizing the VRP by minimizing fuel consumption , 2011 .

[66]  J.H.R. van Duin,et al.  The Seventh International Conference on City Logistics Towards an agent-based modelling approach for the evaluation of dynamic usage of urban distribution centres , 2012 .

[67]  Eiichi Taniguchi,et al.  Evaluating city logistics measures using a multi-agent model , 2010 .

[68]  Andreas Bortfeldt,et al.  Constraints in container loading - A state-of-the-art review , 2013, Eur. J. Oper. Res..

[69]  Rémy Dupas,et al.  Concepts of an Integrated Platform for Innovative City Logistics with Urban Consolidation Centers and Transshipment Points , 2018, City Logistics 3.

[70]  Dominik Goeke,et al.  Routing a mixed fleet of electric and conventional vehicles , 2015, Eur. J. Oper. Res..

[71]  Behzad Kordnejad,et al.  Stakeholder Analysis in Intermodal Urban Freight Transport , 2016 .

[72]  Yasunori Iida,et al.  The Network Reliability of Transport: Proceedings of the 1st International Symposium on Transportation Network Reliability (INSTR) , 2003 .

[73]  Elise Miller-Hooks,et al.  Measuring and maximizing resilience of freight transportation networks , 2012, Comput. Oper. Res..

[74]  Jie Yang,et al.  Exploring Co-Modality Using On-Demand Transport Systems , 2016 .

[75]  Tom Van Woensel,et al.  An adaptive large neighborhood search heuristic for the Pickup and Delivery Problem with Time Windows and Scheduled Lines , 2016, Comput. Oper. Res..

[76]  Kenneth Lebeau,et al.  Electric versus conventional vehicles for logistics: A total cost of ownership , 2013, 2013 World Electric Vehicle Symposium and Exhibition (EVS27).

[77]  Rinaldo A. Cavalcante,et al.  A conceptual framework for agent-based modelling of logistics services , 2010 .

[78]  Eiichi Taniguchi,et al.  An exact solution approach for vehicle routing and scheduling problems with soft time windows , 2009 .

[79]  Trung Thanh Nguyen,et al.  A hybrid algorithm for a vehicle routing problem with realistic constraints , 2017, Inf. Sci..

[80]  Joeri Van Mierlo,et al.  Conventional, Hybrid, or Electric Vehicles: Which Technology for an Urban Distribution Centre? , 2015, TheScientificWorldJournal.

[81]  F. Jolai,et al.  A green vehicle routing problem with customer satisfaction criteria , 2016 .

[82]  Martin W. P. Savelsbergh,et al.  The General Pickup and Delivery Problem , 1995, Transp. Sci..

[83]  Nicola Secomandi,et al.  Reoptimization Approaches for the Vehicle-Routing Problem with Stochastic Demands , 2009, Oper. Res..

[84]  Michele De Gennaro,et al.  Big Data for Supporting Low-Carbon Road Transport Policies in Europe: Applications, Challenges and Opportunities , 2016, Big Data Res..

[85]  S. Melo,et al.  A portfolio approach for optimal fleet replacement toward sustainable urban freight transportation , 2016 .

[86]  James H. Lambert,et al.  PRIORITIZATION OF SCHEDULE DEPENDENCIES IN HURRICANE RECOVERY OF TRANSPORTATION AGENCY , 2002 .

[87]  Gerhard Wäscher,et al.  An improved typology of cutting and packing problems , 2007, Eur. J. Oper. Res..

[88]  Omer Tatari,et al.  Does a battery-electric truck make a difference? – Life cycle emissions, costs, and externality analysis of alternative fuel-powered Class 8 heavy-duty trucks in the United States , 2017 .

[89]  Glaydston Mattos Ribeiro,et al.  An adaptive large neighborhood search heuristic for the cumulative capacitated vehicle routing problem , 2012, Comput. Oper. Res..

[90]  Dominik Goeke,et al.  The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations , 2014, Transp. Sci..

[91]  Geir Hasle,et al.  Industrial Vehicle Routing , 2007, Geometric Modelling, Numerical Simulation, and Optimization.

[92]  Allan Larsen,et al.  The Dynamic Vehicle Routing Problem , 2000 .

[93]  Zhi-Long Chen,et al.  Solving a Practical Pickup and Delivery Problem , 2003, Transp. Sci..

[94]  Michel Gendreau,et al.  Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching , 1999, Transp. Sci..

[95]  Elise Miller-Hooks,et al.  Scheduling Short-Term Recovery Activities to Maximize Transportation Network Resilience , 2015, J. Comput. Civ. Eng..

[96]  Walid Klibi,et al.  Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics , 2015 .

[97]  E. Taniguchi,et al.  Multi-agent systems modelling approach to evaluate urban motorways for city logistics , 2014 .

[98]  Simona Mancini,et al.  Multi-echelon distribution systems in city logistics , 2013 .

[99]  Michael A. P. Taylor,et al.  Critical Transport Infrastructure in Urban Areas: Impacts of Traffic Incidents Assessed Using Accessibility-Based Network Vulnerability Analysis , 2008 .

[100]  A. Rose DEFINING AND MEASURING ECONOMIC RESILIENCE TO DISASTERS , 2004 .

[101]  Eiichi Taniguchi,et al.  Real time simulation of auctioning and re-scheduling processes in hybrid freight markets , 2007 .

[102]  Changzheng Liu,et al.  Solving Stochastic Transportation Network Protection Problems Using the Progressive Hedging-based Method , 2010 .

[103]  M. Lindholm,et al.  Challenges in urban freight transport planning – a review in the Baltic Sea Region , 2012 .

[104]  Marius M. Solomon,et al.  Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints , 1987, Oper. Res..

[105]  Russell Bent,et al.  A two-stage hybrid algorithm for pickup and delivery vehicle routing problems with time windows , 2006, Comput. Oper. Res..

[106]  Pamela M. Murray-Tuite A Comparison of Transportation Network Resilience under Simulated System Optimum and User Equilibrium Conditions , 2006, Proceedings of the 2006 Winter Simulation Conference.

[107]  Richard F. Hartl,et al.  New savings based algorithms for time constrained pickup and delivery of full truckloads , 2003, Eur. J. Oper. Res..

[108]  E. Taniguchi,et al.  Evaluation of Urban Distribution Centers Using Multiagent Modeling with Geographic Information Systems , 2015 .

[109]  Sai Ho Chung,et al.  Survey of Green Vehicle Routing Problem: Past and future trends , 2014, Expert Syst. Appl..

[110]  Elise Miller-Hooks,et al.  A Green Vehicle Routing Problem , 2012 .

[111]  Christine L. Mumford,et al.  The single vehicle pickup and delivery problem with time windows: intelligent operators for heuristic and metaheuristic algorithms , 2010, J. Heuristics.

[112]  Yuchun Xu,et al.  Development of a fuel consumption optimization model for the capacitated vehicle routing problem , 2012, Comput. Oper. Res..

[113]  Miguel A. Figliozzi,et al.  A Methodology to Evaluate the Competitiveness of Electric Delivery Trucks , 2013 .

[114]  Giselher Pankratz,et al.  A Grouping Genetic Algorithm for the Pickup and Delivery Problem with Time Windows , 2005, OR Spectr..

[115]  Michael Norman,et al.  Developing measurement indices to enhance protection and resilience of critical infrastructure and key resources. , 2010, Journal of business continuity & emergency planning.

[116]  Eiichi Taniguchi,et al.  Multi-Agent Simulation Using Adaptive Dynamic Programing for Evaluating Urban Consolidation Centers , 2018 .

[117]  Rashid Mehmood,et al.  Exploring the influence of big data on city transport operations: a Markovian approach , 2017 .

[118]  Dong-Yeon Lee,et al.  Electric urban delivery trucks: energy use, greenhouse gas emissions, and cost-effectiveness. , 2013, Environmental science & technology.

[119]  Joel S. E. Teo,et al.  Evaluation of Distance-Based and Cordon-Based Urban Freight Road Pricing in E-Commerce Environment with Multiagent Model , 2012 .

[120]  Jacques Desrosiers,et al.  A Dynamic Programming Solution of the Large-Scale Single-Vehicle Dial-A-Ride Problem with Time Windows , 1984 .

[121]  Hajo A. Reijers,et al.  The Share-a-Ride Problem: People and parcels sharing taxis , 2014, Eur. J. Oper. Res..

[122]  Elise Miller-Hooks,et al.  Travel time resilience of roadway networks under disaster , 2014 .

[123]  Elise Miller-Hooks,et al.  Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport , 2012, Transp. Sci..

[124]  Gilbert Laporte,et al.  An adaptive large neighborhood search heuristic for the Pollution-Routing Problem , 2012, Eur. J. Oper. Res..

[125]  Russell L. Ackoff,et al.  Optimization + objectivity = optout , 1977 .