Crowdsourcing Transit Predictions

Uncertainty about transit arrival is a significant 挑战 for attracting new transit users, but accurate real time systems, built into vehicles 和 stations, are costly for agencies working on tight budgets. 在许多城市, it’s a vicious cycle: poor service leads to fewer riders, which leads to reduced budgets, which leads to worse service. 应用程序开发者 may have found a low-cost solution however. By crowdsourcing travel data, along with reports of delays 和 other issues, apps like Moovit 和 Swyft offer a new, low-cost way to ensure accurate travel information. 这种方法, which has particular promise for cities in developing countries or cities experiencing economic hardship, has the opportunity to make transit more attractive to potential users, without increasing costs for transit agencies.

相关标签

• 移动+
• 公共交通
• 智能城市
• TH!NK by IBI
• 运输