The taxi companies see immense possibilities for ride sharing in British Columbia. Considering the consumer demands, the NDP government has announced that it will bring ride-hailing companies such as Uber and Lyft to B.C., but only after reviewing the current policies and devising a new report. The idea has been to allow the services by the end of this year. But the companies will have to wait a little longer, hoping to start the services by early 2018. The Transportation Minister Claire Trevena announced that they are working on the rules that ensure both safety to the public and job security to the drivers. The government is very cautious that the new set of rules should not knock down either the ride-hailing companies or the traditional taxi industry. This can eventually delay the process until the B.C. government proposes regulations that appease the requirements of both the groups. The reason that ride-hailing provides more choice and convenience for the people drives the growth...
Geolocation is an automated process for finding the geographical location of the device, thereby finding users. It serves a greater purpose when it comes to on-demand services such as taxi/transportation business, delivery service, and so on. On-demand taxi business is the best example that uses geolocation the most without which the current-day taxi industry is not possible. The reason behind the success of taxi application lies in its ability to track locations precisely that is what made ride-hailing easy. The location-based service is the key to the taxi business in this technology-driven market. Try 15 Days Trial For Free The traditional way of dispatching would be difficult for drivers to find customer locations and their destination. After the implementation of the GPS-enabled tracking system into the industry, such trivialities are eliminated and simplified to make trips possible for any remote place. The taxi-booking app without location tracking system would be of no use. ...
Artificial intelligence (AI) decides the future of business because it resolves plenty of problems that curb growth. It answers the unprecedented question in advance with its actionable insights driven from data, especially the historical ones. Businesses being integrated with technology produce a huge amount of data every nanosecond that can be analyzed computationally to understand the trends and patterns associated with human interactions and behavior. World leaders like Japan have already started implementing AI into the transportation systems in their nations to predict upcoming ride requests, vehicle health, and driving habit. For over a span of 10 years, there is an overwhelming stream of information that have been collected during the deployment of on-demand taxi services. By analyzing different pattern and trends, future sales/demand can be predicted. The repetition of such patterns offers a potentially accurate demand forecasting. Future of TaxiMobility “Can AI forecast fo...
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