2.Can the use of AI help ease con­ges­tion and mo­bil­ity in big cities?

Gulf News - - Special Report -

Al Zaka: AI tech­niques can be ap­plied to an­a­lyse traf­fic data (such as travel time, queue length, con­ges­tion lev­els) at dif­fer­ent times of the day/lo­ca­tions, and cor­re­late it with fac­tors which are po­ten­tially caus­ing traf­fic, such as ac­ci­dents, road works, road main­te­nance, events, weather con­di­tions, as well as places such as schools, uni­ver­si­ties, hospi­tals and tourist at­trac­tions.

The data can en­able sci­en­tists to un­cover pat­terns and sim­u­late fu­ture sce­nar­ios, to pre­dict how the traf­fic con­di­tions will be im­pacted by fu­ture de­vel­op­ments, road de­sign changes, de­tours, ma­jor in­crease in pop­u­la­tion or any other fu­ture sce­nario, based on the in­tel­li­gence built in the model.

Shakir: Def­i­nitely. In the past, peo­ple would make their jour­ney based on their per­cep­tion or past ex­pe­ri­ence and many a time, this meant that tak­ing cer­tain routes re­sulted in a sig­nif­i­cant load­ing of pop­u­lar road cor­ri­dors. It was not pos­si­ble for a driver then to fore­cast the live traf­fic con­di­tion on the road. With the de­vel­op­ment of AI tech­nolo­gies, it is now pos­si­ble to send data live to mo­bile de­vices of pas­sen­gers, for ex­am­ple, on live traf­fic con­di­tions.

This re­sults in sig­nif­i­cant re­dis­tri­bu­tion of the traf­fic through the di­ver­sion from the pop­u­lar con­gested cor­ri­dors to the par­al­lel roads which are at times not well utilised.

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