Subscribe Now Subscribe Today
Research Article
 

Two-tiered Decentralized Simulation Model to Regulate Urban Freight Trucks Operation



Xiaoxia Wang, Zhong Liu and Yue Shang
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
ABSTRACT

Time windows and vehicle restrictions are widespread urban freight trucks regulations around the world which result in substantial social and economic losses many times. A two-tiered decentralized simulation model was developed to regulate freight trucks to access the urban area. This model met the different freight demands of municipal sub-areas based on their own evolving traffic capacity and introduced a level of readiness to direct freight trucks access priority. Furthermore, its sustainable system goals included travel cost within an urban area and satisfaction of user’s expectations. Beijing was taken as a case study to illustrate how to calibrate the demand and capacity of sub-areas. And its simulation results showed temporal regulation plans for each user which was very instructive for the authorities to efficiently and dynamically regulate freight trucks into the congested urban area.

Services
Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

 
  How to cite this article:

Xiaoxia Wang, Zhong Liu and Yue Shang, 2013. Two-tiered Decentralized Simulation Model to Regulate Urban Freight Trucks Operation. Journal of Applied Sciences, 13: 3275-3279.

DOI: 10.3923/jas.2013.3275.3279

URL: https://scialert.net/abstract/?doi=jas.2013.3275.3279
 

REFERENCES
1:  Bhuiyan, M.F.H., Awasthi, C. Wang and W. Zhiguo, 2010. Decentralized urban freight management through market based mechanisms. Proceedings of the International Conference on Systems, Man and Cybernetics, October 10-13, 2010, Istanbul, Turkey, pp: 1488-1494.

2:  Figliozzi, M.A., 2007. Analysis of the efficiency of urban commercial vehicle tours: Data collection, methodology and policy implications. Transport. Res. Part B, Methodol., 41: 1014-1032.
CrossRef  |  Direct Link  |  

3:  Figliozzi, M.A., 2006. Modeling impact of technological changes on urban commercial trips by commercial activity routing type. Transport. Res. Rec., 1964: 118-126.

4:  Grzybowska, H. and J. Barcelo, 2012. Decision support system for real-time urban freight management. Proceedings of the 7th International Conference on City Logistics Developing, June 7-9, 2011, Mallorca, Spain, pp: 712-725.

5:  Holguin-Veras, J., 2000. A framework for an integrative freight market simulation. Proceedings of the Intelligent Transportation Systems Conference, October 1-3, 2000, Dearborn, MI., USA., pp: 476-481.

6:  Holguin-Veras, J., 2008. Necessary conditions for off-hour deliveries and the effectiveness of urban freight road pricing and alternative financial policies in competitive markets. Transport. Res. Part A: Policy Practice, 42: 292-413.
CrossRef  |  Direct Link  |  

7:  Ibeas, A., J.L. Moura, A. Nuzzolo and A. Comi, 2012. Urban freight transport demand: Transferability of survey results analysis and models. Proceedings of the 15th Meeting of the EURO Working Group on Transportation, September 10-13, 2012, France, pp: 1068-1079.

8:  Quak, H.J. and M.B.M. de Koster, 2008. Delivering goods in urban areas: How to deal with urban policy restrictions and the environment. Transport. Sci., 43: 211-227.
CrossRef  |  Direct Link  |  

9:  Regan, A.C. and T.F. Golob, 2005. Trucking industry demand for urban shared use freight terminals. Transportation, 32: 23-36.
CrossRef  |  Direct Link  |  

10:  Sarker, B. and E. Baylot, 2012. Throughput capacity estimation for convoy movement in linked roads. J. Transp. Eng., 138: 1133-1142.
Direct Link  |  

11:  Sathaye, N., R. Harley and S. Madanat, 2010. Unintended environmental impacts of nighttime freight logistics activities. Transp. Res. Part A Policy Pract., 44: 642-659.
CrossRef  |  

12:  Stathopoulos, A., E. Valeri and E. Marcucci, 2012. Stakeholder reactions to urban freight policy innovation. J. Transp. Geogr., 22: 34-45.
CrossRef  |  Direct Link  |  

13:  Suksri, J. and R. Raicu, 2012. Developing a conceptual framework for the evaluation of urban freight distribution initiatives. Proceedings of the 7th International Conference on City Logistics Developing, June 7-9, 2011, Mallorca, Spain, pp: 321-332.

14:  Wang, X.X., 2013. Taking Beijing as a case study with online real-time traffic maps to regulate urban entry of trucks. JCIT, 8: 876-884.

15:  Crainic, T.C., N. Ricciardi and G. Storchi, 2004. Advanced freight transportation systems for congested urban areas. Transport. Res. Part C., 12: 119-137.
Direct Link  |  

©  2021 Science Alert. All Rights Reserved