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A Multi-Modal Trip Planning System with Real-Time Traffic and Transit Information: Design, Implementation and Evaluation

Jingquan Li, Kun Zhou, Liping Zhang, Wei‐Bin Zhang

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Abstract

Most transit trip planning systems are based on static schedules and generate trips that are not dynamically responding to delays in transit operation, caused by traffic congestion or accidents. In addition, the park-and-ride travel mode is common in metropolitan areas. However, very few transit trip planners incorporate the real-time transit data and park-and-ride mode. This paper describes a multimodal trip planning system that provides multiple modes: driving, transit and park-and-ride. The system considers the real-time transit arrival time, which is estimated by a prediction model. Both web-based and mobile phone-based clients are implemented for user access. Preliminary case studies show that the multimodal trip planning system works very well.

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What this paper is about

Most transit trip planning systems are based on static schedules and generate trips that are not dynamically responding to delays in transit operation, caused by traffic congestion or accidents. In addition, the park-and-ride travel mode is common in metropolitan areas. However, very few transit trip planners incorporate the real-time transit data and park-and-ride mode. This paper describes a multimodal trip planning system that provides multiple modes: driving, transit and park-and-ride. The system considers the real-time transit arrival time, which is estimated by a prediction model. Both web-based and mobile phone-based clients are implemented for user access. Preliminary case studies show that the multimodal trip planning system works very well.

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Available abstract

Most transit trip planning systems are based on static schedules and generate trips that are not dynamically responding to delays in transit operation, caused by traffic congestion or accidents. In addition, the park-and-ride travel mode is common in metropolitan areas. However, very few transit trip planners incorporate the real-time transit data and park-and-ride mode. This paper describes a multimodal trip planning system that provides multiple modes: driving, transit and park-and-ride. The system considers the real-time transit arrival time, which is estimated by a prediction model. Both web-based and mobile phone-based clients are implemented for user access. Preliminary case studies show that the multimodal trip planning system works very well.

Key concepts: Transport engineering, Transit (satellite), Metropolitan area, Trip generation, Modal, Traffic congestion, TRIPS architecture, Computer science

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