Abstract

In developing countries, demand for passenger travel is higher, due to economic growth. Government policy encourages people to use public transportation instead of their private carsto reduce of traffic congestion and air pollution. In the city areas, bus networks are the major part of the public transportation system because they are easily accessible and cheaper compared to other types of public transportation. In this study revelation of details of bus operation included different agents is studied. Bus operations, during provision of their service, have interaction with three main agents: bus agent, passenger agent and traffic agent. Study of the influence of each agent in bus operation is presented in this study, using the macroscopic way.

Keywords:

Bus operation, dwell time, passengers, traffic, travel time,

References

1. Chua, T.A., 1984. The planning of urban bus routes and frequencies: A survey. Transportation, 12(2): 147-172.
   CrossRef    
2. Hafezi, M.H. and A. Ismail, 2011a. Balancing between headway and frequency scheduling for bus service. J. Appl. Mech. Mater: Adv. Transport., 97-98: 669-673.
   CrossRef    
3. Hafezi, M.H. and A. Ismail, 2011b. Bus scheduling model for adjustment headway of bus carriers. J. Appl. Mech. Mater: Adv. Transport., 97-98: 911-915.
   CrossRef    
4. Hafezi, M.H. and A. Ismail, 2011c. Interaction between bus stops location and traffic on bus operation. J. Appl. Mech. Mater: Adv. Transport., 97-98: 1185-1188.
   CrossRef    
5. Hafezi, M.H. and A. Ismail, 2011d. Study behaviour of passengers on transit operation. J. Appl. Mech. Mater: Adv. Transport., 97-98: 1154-1157.
   CrossRef    
6. Hafezi, M.H. and A. Ismail, 2012. A comparative analysis of fare collection system on bus operations. J. Appl. Sci., 12(4): 393-397.
   CrossRef    
7. Ismail, A. and M.H. Hafezi, 2011. Analyzing of bus operation to obtain regular frequency for neo-mission. Aust. J. Basic Appl. Sci., 5(11): 1275-1284.
   
8. Ismail, R., M.H. Hafezi and A. Ismail, 2012a. Implementing specific lane length on bus route for operation delays reduction. J. Appl. Sci., 12(19): 2077-2081.
   CrossRef    
9. Ismail, R., M.H. Hafezi, R.M. Nor and K. Ambak, 2012b. Passengers preference and satisfaction of public transport in Malaysia. Aust. J. Basic Appl. Sci., 6(8): 410-416.
   
10. Lin, J. and M. Ruan, 2009. Probability based bus headway regularity measure. Intell. Transp. Sy., 3(4): 400-408.
    CrossRef    
11. Meignan, D., O. Simonin and A. Koukam, 2007. Simulation and evaluation of urban bus-networks using a multiagent approach. Simul. Model. Pract. Th., 15(6): 659-671.
    CrossRef    
12. Sinclair, M. and D.L. Van Oudheusden, 1997. Network approach to trip frequency scheduling for bus routs in heavily congested cities. Eur. J. Oper. Res., 103(1): 18-27.
    CrossRef    
13. Vuchic, V.R., 1981. Urban Public Transportation. Prentice Hall College, New Jersey.
    
14. Wirasinghe, S.C. and N.S. Ghoneim, 1981. Spacing of bus-stops for many to many travel demand. Transport. Sci., 15(3): 210-221.
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.