In high frequency transit services, bus regularity—i.e., the headway adherence between buses at bus stops—can be used as an indication of service quality, in terms of reliability, by both users and transit agencies. The Web architecture is the entry point of a Decision Support System (DSS), and contains an environment designed for experts in transport domain. The environment is composed of tools developed to automatically handle Automatic Vehicle Location (AVL) raw data for measuring the Level of Service (LoS) of bus regularity at each bus stop and time interval of a transit bus route. The results are represented within easy-to-read control dashboards consisting of tables, charts, and maps, able to perform fast AVL processing and easy accessibility in order to reduce the workload of transit operators. These outcomes show the importance of well-handled and presented AVL data, in order to use them more effectively, improving past analysis done by using, if any, manual methods.

Web Architecture of a Web Portal for Reliability Diagnosis of Bus Regularity

Barabino B
Primo
;
2018-01-01

Abstract

In high frequency transit services, bus regularity—i.e., the headway adherence between buses at bus stops—can be used as an indication of service quality, in terms of reliability, by both users and transit agencies. The Web architecture is the entry point of a Decision Support System (DSS), and contains an environment designed for experts in transport domain. The environment is composed of tools developed to automatically handle Automatic Vehicle Location (AVL) raw data for measuring the Level of Service (LoS) of bus regularity at each bus stop and time interval of a transit bus route. The results are represented within easy-to-read control dashboards consisting of tables, charts, and maps, able to perform fast AVL processing and easy accessibility in order to reduce the workload of transit operators. These outcomes show the importance of well-handled and presented AVL data, in order to use them more effectively, improving past analysis done by using, if any, manual methods.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/252298
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