16.7.2.5.8 Traffic, Routing, Travel Time, Evaluation

Liu, T., Ceder, A.,
A Note on Transit Coordination Using Integer-Ratio Headways,
ITS(18), No. 6, June 2017, pp. 1654-1656.
IEEE DOI 1706
Linear programming, Mathematical model, Real-time systems, Synchronization, Vehicles, Operational objective functions, timetabling, transfer synchronization, transit, coordination BibRef

Domènech, A.[Antoni], Gutiérrez, A.[Aaron],
A GIS-Based Evaluation of the Effectiveness and Spatial Coverage of Public Transport Networks in Tourist Destinations,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Kachroo, P., Gupta, S., Agarwal, S., Ozbay, K.,
Optimal Control for Congestion Pricing: Theory, Simulation, and Evaluation,
ITS(18), No. 5, May 2017, pp. 1234-1240.
IEEE DOI 1609
Mathematical model, Optimal control, Pricing, Roads, Vehicle dynamics, Vehicles, Optimal control, chattering, congestion pricing, logit, saturation, function BibRef

Chen, C., Zhang, D., Ma, X., Guo, B., Wang, L., Wang, Y., Sha, E.,
crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis,
ITS(18), No. 6, June 2017, pp. 1478-1496.
IEEE DOI 1706
Planning, Public transportation, Real-time systems, Relays, Roads, Trajectory, Urban areas, Package delivery, hitchhiking rides, route planning, taxi scheduling, trajectory, data, mining BibRef

Qian, X., Ukkusuri, S.V.,
Time-of-Day Pricing in Taxi Markets,
ITS(18), No. 6, June 2017, pp. 1610-1622.
IEEE DOI 1706
Dynamic programming, Industries, Pricing, Public transportation, Surges, Urban areas, Vehicles, Time-of-day pricing, daily operation, market dynamics, revenue maximization, surge demand, value, function, approximation BibRef

Jiang, B., Fei, Y.,
Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks,
ITS(18), No. 7, July 2017, pp. 1793-1801.
IEEE DOI 1706
Artificial neural networks, Data models, Hidden Markov models, Predictive models, Roads, Stochastic processes, Vehicles, Vehicle speed prediction, hidden Markov model, neural network, vehicular, network BibRef

Zhang, Y., Ioannou, P.A.,
Combined Variable Speed Limit and Lane Change Control for Highway Traffic,
ITS(18), No. 7, July 2017, pp. 1812-1823.
IEEE DOI 1706
Analytical models, Convergence, Microscopy, Road transportation, Safety, Vehicles, VSL, feedback linearization, lane, change BibRef

Yu, H., Wu, Z., Chen, D., Ma, X.,
Probabilistic Prediction of Bus Headway Using Relevance Vector Machine Regression,
ITS(18), No. 7, July 2017, pp. 1772-1781.
IEEE DOI 1706
Data models, Global Positioning System, Prediction algorithms, Predictive models, Probabilistic logic, Smart cards, Support vector machines, Bus headway, confidence interval, probabilistic prediction, relevance vector machine, smart, card, data BibRef

Ji, B., Yuan, X., Yuan, Y.,
Orthogonal Design-Based NSGA-III for the Optimal Lockage Co-Scheduling Problem,
ITS(18), No. 8, August 2017, pp. 2085-2095.
IEEE DOI 1708
Genetic algorithms, Marine vehicles, Navigation, Optimization, Rivers, Sorting, Lockage co-scheduling, Three Gorges Dam, orthogonal design, time-area, series, assignment BibRef

Wang, Z., Zlatanova, S., van Oosterom, P.,
Path Planning for First Responders in the Presence of Moving Obstacles With Uncertain Boundaries,
ITS(18), No. 8, August 2017, pp. 2163-2173.
IEEE DOI 1708
Data models, Hazards, Path planning, Predictive models, Roads, Routing, Uncertainty, Data model, algorithm, route planning, uncertain moving obstacles BibRef

Moylan, E.K.M., Rashidi, T.H.,
Latent-Segmentation, Hazard-Based Models of Travel Time,
ITS(18), No. 8, August 2017, pp. 2174-2180.
IEEE DOI 1708
Analytical models, Context, Context modeling, Data models, Hazards, Meteorology, Probabilistic logic, Travel time variability, congestion, hazard-based analysis, latent segmentation formulation, traffic, modeling BibRef

Lopez, A.J.[Angel J.], Astegiano, P.[Paola], Gautama, S.[Sidharta], Ochoa, D.[Daniel], Tampère, C.M.J.[Chris M. J.], Beckx, C.[Carolien],
Unveiling E-Bike Potential for Commuting Trips from GPS Traces,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Shi, C.Y.[Chao-Yang], Chen, B.Y.[Bi Yu], Li, Q.Q.[Qing-Quan],
Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Salleh, A.H., Ahamad, M.S.S., Yusoff, M.S.,
Applying an Integrated Route Optimization Method as a Solution to the Problem of Waste Collection,
GGT16(103-110).
DOI Link 1612
BibRef

Selala, M.K., Musakwa, W.,
The Potential Of Strava Data To Contribute In Non-motorised Transport (NMT) Planning In Johannesburg,
ISPRS16(B2: 587-594).
DOI Link 1610
BibRef

Heidari, A.A., Delavar, M.R.,
A Modified Genetic Algorithm For Finding Fuzzy Shortest Paths In Uncertain Networks,
ISPRS16(B2: 299-304).
DOI Link 1610
BibRef

Jing, L.[Luwei], Liu, F.[Feng], Li, Y.L.[Yu-Ling],
Energy saving routing algorithm based on SPIN protocol in WSN,
IASP11(416-419).
IEEE DOI 1112
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Systems, Transportation .

Last update:Sep 18, 2017 at 11:34:11