Big Data and Mobility As a Service

Intro -- Big Data and Mobility as a Service -- Copyright -- Contents -- Contributors -- Introduction -- 1. Background -- 2. Big data: Definition, history, today -- 3. MaaS: Definition, history, today -- 4. Big data X MaaS -- 5. Summary -- Chapter 1: MaaS system development and APPs -- 1. The development history of MaaS -- 1.1. The conception -- 1.2. The early application -- 1.3. MaaS alliance -- 1.4. Development -- 1.5. Revolution and innovation -- 2. The category of MaaS system -- 2.1. Level 0: No integration -- 2.2. Level 1: Information integration -- 2.3. Level 2: Integration of booking and payment -- 2.4. Level 3: Integration of the service offering -- 2.5. Level 4: Integration of societal goals -- 3. Study case -- 3.1. UbiGo -- 3.1.1. Introduction -- 3.1.2. Services -- 3.1.3. Characteristics -- 3.2. Whim -- 3.2.1. Introduction -- 3.2.2. Services -- 3.2.3. Characteristics -- 3.3. Moovit -- 3.3.1. Introduction -- 3.3.2. Services -- 3.3.3. Characteristics -- 3.4. Uber -- 3.4.1. Introduction -- 3.4.2. Services -- 3.4.3. Characteristics -- 4. Future development trend of MaaS system -- 4.1. Data-integrated -- 4.2. Future-oriented -- 4.3. Sustainable -- References -- Chapter 2: Spatio-temporal data preprocessing technologies -- 1. Introduction -- 2. Raw GPS data and workflow of data preprocessing -- 3. Key technologies and corresponding application -- 3.1. Outlier removement -- 3.2. Stay location detection -- 3.3. Travel segmentation -- 3.4. Travel mode detection -- 3.5. Map matching -- 3.6. Summary -- 4. Case study -- 4.1. Stay location detection: Life pattern analysis -- 4.1.1. Introduction -- 4.1.2. Problem and methodology -- 4.1.3. Result illustration and analysis -- 4.1.4. Conclusion -- 4.2. Travel segmentation and mode detection: Ride-sharing potential analysis -- 4.2.1. Introduction -- 4.2.2. Problem and methodology.