Book Details

Author

Joseph Chow

Language

English

Pages

Size

26.14 MB

Format

Informed Urban Transport Systems

PDF Free Download | Informed Urban Transport Systems Classic and Emerging Mobility Methods toward Smart Cities by Joseph Y. J. Chow

Contents of Informed Urban Transport Systems

Table 1.1 Elements of a transport system
Table 1.2 Additional elements for an urban transport system
Table 3.1 Costs of coffee shop queu
Table 3.2 Path-link incidence matrix for Exercise
Table 3.3 Test networks
Table 3.4 Commercial software and open source tools for traffic assignment
Table 3.5 Comparison of equilibrium and social optimal scenarios for downtown Toronto
Table 3.6 Different types of mobility as a service
Table 4.1 Modes used in scheduling portion of CEMDAP
Table 4.2 Cumulative arrivals and departures on link (u,w) for Exercise 4.4
Table 4.3 Activity data for Exercise 4.5
Table 4.4 mHAPP network data for Exercise 4.5
Table 4.5 Market schedule equilibrium assignment
Table 4.6 Stations on the A-Lefferts Blvd line
Table 5.1 Machine learning methods by similarity compiled by Brownlee
Table 5.2 Machine learning applications in urban transport
Table 5.3 Inverse optimization advances and applications
Table 5.4 Median arrival times by activity type from 2001 California Household Travel Survey
Table 5.5 Prior and calibrated capacity parameters for freight flows in the airports in California in 2007
Table 5.6 Summary of model calibration and validation
Table 5.7 Illustration of parameter estimation using Algorithm 5.2 for example from Section 4.5
Table 5.8 Scenarios evaluated in example
Table 5.9 Estimated parameters and significance tests for multinomial and mixed multinomial logit model
Table 5.10 Estimated shares (MNL) vs actual shares of route choices when link 3 is closed
Table 5.11 Comparison of uninformed prior vs optimal invariant common prior
Table 5.12 Comparison of performance measures
Table 6.1 Illustration of the differential privacy criterion evaluation
Table 6.2 Sample of 20 individual incomes to illustrate effect of differential privacy on consumer surplus
Table 6.3 Summary of 10 simulated queries of income data with differential privacy for E¼{1000, 100}
Table 6.4 Simulated origins and destinations
Table 6.5 Travel times and demand
Table 6.6 Travel times for Exercise 6.5
Table 7.1 Network design problems covered in this chapter
Table 7.2 Popular software packages for solving network design problems
Table 7.3 Sorted savings for all node pairs in descending order
Table 7.4 Solutions to MCLP for Exercise 7.7
Table 7.5 Server locations at time t and t+ 1 (without and with relocation costs)
Table 7.6 Solution to Exercise 7.11
Table 7.7 Example equilibrium solutions
Table 8.1 Summary of solution for Exercise 8.2
Table 8.2 Twelve “in-the-money” simulated path values for t¼{9, 10}
Table 8.3 Summary of sensitivity analysis for Exercise 8.6
Table 8.4 Summary of fixed-flexible switching example for Fig. 8.7 in Guo et al. (2017)
Table 8.5 Simulation of 20 sample paths
Table 8.6 Exercise values for each option in sequence
Table 8.7 Exercise decisions
Table 8.8 Summary of exercise, deferral, option values, and decisions for each sequence in whole
Table 8.9 Summary of CR policy decisions as a function of σ
Table A.1 Transportation research h-index rankings by institution for (left) all years up to 2016, and (right) for papers published in 2007–16
Table B.1 UML diagrams (Ambler, 2017)
Table B.2 Selection of ITS performance measures
Table C.1 Example transition matrix
Table D.1 Input data for assortment problem example