Traffic surveys witout any detours
with mQuest® Traffic.
Traffic surveys (interviewing and tracking boarding and exiting passengers) provide valuable information about timely and spatial use of the service by their customers to transport companies and transport associations.
With mQuest® Traffic, traffic surveys can be executed precise and digital. Collected data is stored centrally, available at any time and the perfect basis for income distribution systems and upcoming planning tasks.
Count or ask? Both!
Switch seamlessly between counting and surveying
The counting model of mQuest® Traffic has been developed specifically for traffic surveys. With the counting module boarding and exiting passengers of different categories at any stop can be tracked easily, also manually. Switching between counting and surveying module is possible at any time. Therefore boarding and exiting passengers can even be counted during an ongoing survey.
Mobile offline data acquisition.
Works always – even in the tube.
mQuest® is fully deployable even without internet connection. Via digital forms all relevant data is saved securely on a tablet or smartphone and can – with an existing internet connection – be synchronised with the database. Therefore reliable traffic surveys can even be executed in areas with weak internet connection, for example in the subway.
Smart integration of transit maps.
From the home station to the terminal
Sequences of stations and transit maps can easily be integrated into mQuest®. The sequences of stations of each line are created with spreadsheet programs, for example Excel, and subsequently deposited into the questionnaire. Certain stations can be selected on the mobile device via auto-fill-lists.
Easily read out eTickets with mQuest®.
With the new eTicket question type, eTickets can be entered directly into mQuest® according to the VDV Kernapplikation. Simply read out and relevant information such as the ticket number, validity start and end date, ticket product ID and the ticket organization are completely stored in the dataset.