Investigation of Road Transport Enterprise Functioning on the Basis of System Dynamics

1. Azhaginiyal, A., Umadevi, G. (2014) System Dynamics Simulation Modeling of Transport, Energy and Emissions Interactions. Civil Engineering and Architecture, 2(4), pp. 149-165.10.13189/cea.2014.020401Search in Google Scholar

2. Borshchev, A. (2013) The Big Book of Simulation Modeling: Multimethod Modeling with Anylogic 6. AnyLogic North America, Lisle, IL.10.1002/9781118762745.ch12Search in Google Scholar

3. de Jong, G., Gunn, H.F., Walker, W. (2004) National and international freight transport models: an overview and ideas for further development. Transport Reviews, 24(1), pp. 103-124.10.1080/0144164032000080494DOI öffnenSearch in Google Scholar

4. Herazo-Padilla, N., Montoya-Torres, J.R., Nieto-Isaza, S., Ramirez Polo, L., Castro, L., Ramírez, D., Quintero-Araújo, C.L. (2015) Simulation-Based Analysis of Urban Freight Transport with Stochastic Features. Enterprise Interoperability: Interoperability for Agility, Resilience and Plasticity of Collaborations (I-ESA 14 Proceedings), pp. 175-180.10.1002/9781119081418.ch24Search in Google Scholar

5. Holmgren, J., Dahl, M., Davidsson, P., Persson, J.A. (2013) Agent-based simulation of freight transport between geographical zones. Procedia Computer Science, 19, pp. 829-834.10.1016/j.procs.2013.06.110Search in Google Scholar

6. Lownes, N., Machemehl, R. (2006) VISSIM: A multi-parameter sensitivity analysis. In: Proceedings of the 2006 Winter Simulation Conference, pp. 1406-1413.10.1109/WSC.2006.323241Search in Google Scholar

7. Reis, V. (2014) Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model. Transportation Research Part A: Policy and Practice. Volume 61, March 2014, pp. 100-120.10.1016/j.tra.2014.01.002DOI öffnenSearch in Google Scholar

8. Rizzoli, A.E., Fornara, N., Gambardella, L.M. (2002) A simulation tool for combined rail-road transport in intermodal terminals. Mathematics and Computers in Simulation (MATCOM), vol. 59, issue 1, pp. 57-71.10.1016/S0378-4754(01)00393-7Search in Google Scholar

9. Saaty, T.L. (1980) The analytic hierarchy process: planning, priority setting, resources allocation. McGraw-Hill.Search in Google Scholar

10. Shepherd, S.P. (2014) A review of system dynamics models applied in transportation. Transportmetrica B: Transport Dynamics, 2(2), pp. 83-105.10.1080/21680566.2014.916236Search in Google Scholar

11. Sterman, J. (2000) Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill.Search in Google Scholar

12. Stroombergen, A., Stuart, G., Barsanti, T. (2017) System dynamics investigation of freight flows, economic development and network performance. NZ Transport Agency research report 629, 55 pp.Search in Google Scholar

13. Thaller, C., Niemann, F., Dahmen, B., Clausen, U., Leerkamp, B. (2017) Describing and explaining urban freight transport by System Dynamics. Transportation Research Procedia, Volume 25, pp. 1075-1094.10.1016/j.trpro.2017.05.480Search in Google Scholar

14. World Bank. (2017) Turning the tide in turbulent times: leveraging trade for Kazakhstan's development. http://documents.worldbank.org/curated/en/563511493645817442/Turning-the-tide-in-turbulent-times-leveraging-trade-for-Kazakhstans-developmentSearch in Google Scholar

• Using Machine Learning Techniques to Incorporate Social Priorities in Traffic Monitoring in a Junction with a Fast Lane
• Lidar and AI Based Surveillance of Industrial Process Environments
• Effect of Spatio-Temporal Granularity on Demand Prediction for Deep Learning Models
• Utilizing Voip Packet Header’s Fields to Save the Bandwidth
• Assessment of the Interaction of the Logistics Company’s Information Technologies with the Technological Infrastructure
• Autonomous Cargo Bike Fleets – Approaches for AI-Based Trajectory Forecasts of Road Users
• Fast Timeline Based Multi Object Online Tracking
• Laboratory Experiments on Soil Stabilization to Enhance Strength Parameters for Road Pavement