Optimization of Bike Routes for Sustainable Urban Road Network

The transport department of urban cities always needs to keep abreast of sustainable developments such as in Port Said city that is an important urban city in Egypt. Bike routes planning mission is not an easy occupation, especially in developing countries. Mixed traffic is the main shape of the transportation system in most of their systems. The increase of the bike user's percent is an expected objective and be one of the modern sustainable transport solutions. On another side, a lot of problems and accidents had been occurred according to bike crossings among other transport vehicles; cars, buses, taxis, and others. This paper aims at studying the introduction of the bike route's effectiveness. It concludes the driver's reaction to a definite planning scenario and the optimistic effect of the modal change on the objective function that has been assumed by attaching a suitable time-saving for bike users using the Artificial Neural Network ANNs Approach. It shows the effect of bike speed change on the route using a greedy algorithm. The study designated only four streets from seven selected streets to be suitable routes for bike routes introduction. The average bike speed is predicted to increase from 1.5 km per hour to be 2.4 km per hour after introducing the bike routes.