T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis = T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis

다국어 초록 (Multilingual Abstract)

The mobility model is one of the most important factors that impacts the evaluation of any transportation vehicular networking protocols via simulations. However, to obtain a realistic mobility model in the dynamic urban environment is a very challenging task. Several studies extract mobility models from large-scale real data sets (mostly taxi GPS data) in recent years, but they do not consider the statuses of taxi, which is an important factor affected taxi’s mobility. In this paper, we discover three simple observations related to the taxi statuses via mining of real taxi trajectories: (1) the behavior of taxi will be influenced by the statuses, (2) the macroscopic movement is related with different geographic features in corresponding status, and (3) the taxi load/drop events are varied with time period. Based on these three observations, a novel taxi mobility model (T-START) is proposed with respect to taxi statuses, geographic region and time period. The simulation results illustrate that proposed mobility model has a good approximation with reality in trajectory samples and distribution of nodes in four typical time periods.

참고문헌 (Reference)

1 M. Michael D., "Urban transportation planning: a decision-oriented approach" 2001

2 Kong X, "Time-Location-Relationship Combined Service Recommendation Based on Taxi Trajectory Data[J]" 13 (13): 1202 - 1212, 2017

3 A. Keraen, "The ONE simulator for DTN protocol evaluation" 2009

4 Bazzi A, "Telecommunication systems enabling real time navigation[C]" IEEE 1057-1064, 2010

5 D. L O Pez, "Techniques in Multimodal Shortest Path in Public Transport Systems" 3 : 886-886, 2014

6 Zhang S, "Survey on Mobility Model of Opportunistic Networks[C]" 2017

7 H. Wang, "START: Status and Region Aware Taxi Mobility Model for Urban Vehicular Networks" 2015

8 Karamshuk D, "SPoT: Representing the social, spatial, and temporal dimensions of human mobility with a unifying framework[J]" 11 (11): 19-40, 2014

9 Zhu X, "SAME: A students' daily activity mobility model for campus delay-tolerant networks[C]" IEEE 528-533, 2012

10 Ling Fu Xie, "Performance Improvement of Delay- Tolerant Networks with Mobility Control under Group Mobility" 한국인터넷정보학회 9 (9): 2180-2200, 2015

11 Gao, Y, "Node mobility model based on user interest similarity" 35 (35): 2457-2460, 2015

12 Mahajan A, "Modeling vanet deployment in urban settings" ACM 151-158, 2007

13 A. K. Saha, "Modeling mobility for vehicular ad-hoc networks" 2004

14 H. Huang, "Meta: A mobility model of metropolitan taxis extracted from gps traces" 2010

15 R. Ganti, "Inferring human mobility patterns from taxicab location traces" 2013

16 F. Bai, "Important: a framework to systematically analyze the impact of mobility on performance of routing protocols for adhoc networksi" 2003

17 Bazzi A, "Immediate feedback to increase the throughput of full duplex networks based on IEEE 802.11p[C]" IEEE 1-5, 2017

18 Gramaglia, "Highway Road Traffic Modeling for ITS Simulation[M], Networking Simulation for Intelligent Transportation Systems: High Mobile Wireless Nodes" John Wiley & Sons, Inc 2017

19 M. Kim, "Extracting a mobility model from real user traces" 2006

20 Johnson D B, "Dynamic Source Routing in Ad Hoc Wireless Networks[C]" 153-181, 1996

21 S. Arora, "Combining multiple feature extraction techniques for handwritten devnagari character recognition" IEEE 1-6, 2008

22 F. J. Martinez, "Citymob: a mobility model pattern generator for vanets" 2008

23 J. Aslam, "City-scale traffic estimation from a roving sensor network" 2012

24 C. Xia, "Characterization and modeling in large-scale urban DTNs" IEEE 352-359, 2012

25 D. R. Choffnes, "An integrated mobility and traffic model for vehicular wireless networks" 2005

26 S. Ahmed, "An environmentaware mobility model for wireless ad hoc network" 54 (54): 1470-1489, 2010

27 Royer E M, "An analysis of the optimum node density for ad hoc mobile networks[C]" IEEE 3 : 857-861, 2001

28 Castro C D, "An Integrated Architecture for Infomobility Services - Advantages of Genetic Algorithms in Real-time Route Planning.[C]" DBLP 300-305, 2010

29 J. Broch, "A performance comparison of multi-hop wireless ad hoc network routing protocols" 1998

30 X. Lu, "A novel mobility model from a heterogeneous military MANET trace" 2008

31 P. Basu, "A mobility based metric for clustering in mobile ad hoc networks" IEEE 413-418, 2001

32 Silva C M, "A Survey on Infrastructure-Based Vehicular Networks[J]" 2017 : 2017

33 H. Wang, "A Modeling Approach of Mobile Ad Hoc Networks Survivability Model" IEEE 2456-2460, 2009