2-A Daily Flow Profile of Traffic in an Urban Traffic.pdf
2-A Daily Flow Profile of Traffic in an Urban Traffic.pdf
2-A Daily Flow Profile of Traffic in an Urban Traffic.pdf
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S. I. Oni, Charles Asenime, Emm<strong>an</strong>uel Ege, Kemi Efunshade, S.A. Oke<br />
18000<br />
16000<br />
14000<br />
12000<br />
10000<br />
8000<br />
6000<br />
4000<br />
2000<br />
0<br />
MOSHALASHI EGBEDA ISHERI IDIMU COUNCIL COLLEGE<br />
SL1 SL2 SL3 SL4 SL5 SL6<br />
DAY1 DAY2 DAY3 DAY4<br />
4. CONCLUSION<br />
Figure 3. <strong>Traffic</strong> <strong>Daily</strong> flow pr<strong>of</strong>ile from Ikotun to Iy<strong>an</strong>a-Ipaja<br />
The need for cheaper <strong>an</strong>d better hous<strong>in</strong>g has forced m<strong>an</strong>y people to seek<br />
accommodation further away from the CBD <strong>in</strong> the South-East traffic corridor <strong>of</strong> the<br />
metropolis. This phenomenon has its own implication on mobility, especially on the<br />
Iy<strong>an</strong>a-Ipaja/Ikotun traffic corridor which is experienc<strong>in</strong>g very high volume <strong>of</strong> traffic.<br />
Current population estimate by the National Population Commission (NPC) puts the<br />
population <strong>in</strong> excess <strong>of</strong> one million. It is not surpris<strong>in</strong>g then for the Word B<strong>an</strong>k <strong>an</strong>d<br />
the state government to be <strong>in</strong>terested <strong>in</strong> establish<strong>in</strong>g a pilot bus fr<strong>an</strong>chise scheme. The<br />
traffic count therefore is aimed at estimat<strong>in</strong>g traffic flow <strong>an</strong>d its characteristics; the<br />
study gives <strong>an</strong> <strong>in</strong>sight <strong>of</strong> the type <strong>of</strong> traffic m<strong>an</strong>agement system or tool to be<br />
employed by traffic m<strong>an</strong>agement agencies ensur<strong>in</strong>g that traffic flows without<br />
h<strong>in</strong>dr<strong>an</strong>ce <strong>an</strong>d how to further develop a travel dem<strong>an</strong>d m<strong>an</strong>agement system that will<br />
be beneficial to all.<br />
REFERENCES<br />
Baykal-Gursoy, M. W. Xiao, <strong>an</strong>d K. Ozbay. 2008. Model<strong>in</strong>g <strong>Traffic</strong> <strong>Flow</strong> by<br />
Incidents. Europe<strong>an</strong> Journal <strong>of</strong> Operational Research. Available at:<br />
sciencedirect.com.<br />
Castillo, E., Menendez <strong>an</strong>d S. S<strong>an</strong>chez-Cambronero. 2007, Predict<strong>in</strong>g <strong>Traffic</strong> <strong>Flow</strong><br />
Us<strong>in</strong>g Bayesi<strong>an</strong> Networks. Tr<strong>an</strong>sportation Research Part B:<br />
Methodological. Available at: sciencedirect.com.<br />
Vol.2, No.2:99-109 (Fall 2008) 106
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