DOI: 
10.1080/15472450.2012.671708
Jing-Quan Lia, Kun Zhoua, Liping Zhanga & Wei-Bin Zhanga 

pages 60-69
Available online: 09 May 2012

Keywords
Database, Multimodal Trip Planning, Prediction Algorithm, Shortest Path Algorithms

Abstract
Most transit trip planning systems are based on static schedules and generate trips that do not dynamically respond to delays in transit operation caused by traffic congestion or accidents. In addition, the driving-parking-then-transit travel mode is common in metropolitan areas. However, very few transit trip planners incorporate real-time transit data into this mode. This article describes a multimodal trip planning system for multiple modes: driving, transit, and driving-parking-then-transit. 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 used to access the system. Case studies show that the multimodal trip planning system works well in real-life situations.