Olympic Games are international field and track events hosted within four years periods. Like other events, sprinting is a track event that requires rigorous and focused training. When training is done with little or no understanding of the possibilities of the games, the competition would leave more to be desired. This paper formulates, evaluates and validates a model for predicting the fastest sprinting time of Olympic athletes of 100m race for a-5 season appearances. Dataset was obtained from the Olympic official records of world best performances, typically Gold medalists in sprint for the male category from the inception in 1896 to the 2016 edition. The model was simulated on MATLAB. Cross-validation was done using residuals for whiteness and independence tests and model outputs. The results were evaluated based on Sum of Square Error (SSE), R-Square, adjusted R-Square, and Root Mean Square Error (RMSE) and benchmarked with existing models. The model outperformed the existing models with higher accuracy and goodness of fit. This prediction is a reasonable guide for predictive training, forecasting and future study on predictive algorithms.

A number of recommendations for the adoption of ICTs in tackling traffic congestion problems in developing countries have been made in studies. Such studies have rather focused on assessing and evaluating the causes and effects of gridlocks than proffering solutions. The absence of implementable ICT models that can be effectively deployed to salvage the gridlocks, especially those generated by cargo transporters has added to the movement difficulty in these countries. This paper formulates a mobile device-based model supported by web technologies, called MobileCGM that can help avoid incidences of gridlocks emanating from Tin Can Island and Apapa sea ports in Lagos, Nigeria. This novel approach will allow timely pick-ups and deliveries of freights in the area by utilizing the deep penetration of GSM and mobile network services in Nigeria to solve the local problem. The model design and specification of the framework was achieved using the Unified Modelling Language (UML). The implementation of this model will render it needless for trucks and transporters to hang around the vicinity of where their cargos will be dropped off or picked up or cluster on the roads, as both cargo owners and transporters will know in advance when to pick up or deliver their cargo and get there just in time.