The growing population of cities is attributed to transportation inefficiencies in urban areas. Traffic congestion occurs when demand for roads exceeds the capacity of available infrastructure. Traffic inefficiencies are estimated to cost the city of Nairobi Sh50 million per day, which translates to Sh18.2 billion per year due to lost productivity, fuel consumption and environmental pollution ( Mungai, 2012). ICT, which involves the storage, retrieval, manipulation and transmission of information in electronic format, is the basis of modern intelligent transport systems and the ever-increasing mobile phone technology that are transforming the transport sector. Intelligent traffic management systems have been developed to collect and use real data - temporal traffic data, to detect accidents, predict their impact and suggest appropriate measures to solve the problem. This has been made possible by the use of sensing devices such as video cameras, infrared sensors and ultrasonic detectors installed on roads and parking lots that collect traffic data. When data is collected at sensing units, it is transmitted to a central data processing unit for analysis and information communicated to drivers and decision support systems. While intelligent traffic management systems are effective and cost-saving, implementation costs remain high for most city governments in the long run. Installing roadside sensors is estimated to cost $20 to $30 per month per sensor (Kessler, 2011). The growth of mobile phone technology has provided a more cost-effective platform for real-time data collection and information sharing through floating automotive data and crowdsourcing. . Mobile car data is data derived from a mobile phone placed in......the center of a sheet of paper......om: http://www.infrastructureaustralia.gov.au/publications /files/Current_Traffic_Congestion_Managemetn_Sydney.pdf:[Accessed 18 March 2014].Ilan, S. (1985) Telecommunications and travel substitution or modified mobility, transport economics and policy. Transport and economic policy. September, 19(3) pp. 219-235. [Online]. Available from: http://www.bath.ac.uk/e-journals/jtep/pdf/Volume_X1X_No_3_219-235.pdf [Accessed 18 March 2014]. Kessler, S. (2011) 'How smarter parking technology will reduce traffic congestion', Global Innovation Series [Online]. Available at: mashable.com/2011/04/13/smart-parking-tech. [Accessed: 18 March 2014]. Mungai, C. (2012) Unlocking our city' horror traffic jam, the IBM way, The East African, 26 May 2012. [Online]. Available from: http://www.theeastafrican. co.ke/news/...unlock-traffic-jams.../-/index.html‎ [Accessed 18 March 2014].