Top

International Journal of Intelligent Transportation Systems Research

Published in:

10-07-2018

Travel Time Variability and Macroscopic Fundamental Diagram Relationships in Multimodal Networks

Authors: Seham Hemdan, Amr M. Wahaballa, Fumitaka Kurauchi

Published in: International Journal of Intelligent Transportation Systems Research | Issue 2/2019

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Travel time variability (TTV) must be considered in evaluations of the effect of traffic control on transport network performance. The objective of this paper was to investigate the relationship between a travel time variability diagram (TTVD), which relates average travel time to its standard deviation, and a macroscopic fundamental diagram (MFD), which relates average network flow to its average density. Recent studies indicated hysteresis loops in TTVD (for journeys with the same average travel time, the TTVs for departures as congestion dissipates are higher than the TTVs for departures during congestion onset) and in the MFD (with the same network density, higher network flows occur during congestion onset than during congestion offset). Based on a simulation results, we evaluated the correlations between these loops in a multimodal network. Strong correlations were found between TTVD and MFD loops. Next, we developed combined diagrams of travel time standard deviations against network flow and density. These diagrams revealed the presence of a critical network flow and density during congested periods; beyond these critical points, the TTV increases sharply. These findings may facilitate evaluation of management strategies that consider both traffic flow and reliability measures.

previous article Combining Local Search into Genetic Algorithm for Bus Schedule Coordination through Small Timetable Modifications

next article Predicting Air Quality by Integrating a Mesoscopic Traffic Simulation Model and Simplified Air Pollutant Estimation Models

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information.

Order your 30-days-trial for free and without any commitment.

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

ATZelektronik

Die Fachzeitschrift ATZelektronik bietet für Entwickler und Entscheider in der Automobil- und Zulieferindustrie qualitativ hochwertige und fundierte Informationen aus dem gesamten Spektrum der Pkw- und Nutzfahrzeug-Elektronik.

Lassen Sie sich jetzt unverbindlich 2 kostenlose Ausgabe zusenden.

inform now

Lyman, K., Bertini, R.: Using travel time reliability measures to improve regional transportation planning and operations. Transp. Res. Rec. J. Transp. Res Board. 2046, 1–10 (2008). https://doi.org/10.3141/2046-01 CrossRef

Saberi, M., Bertini, B.: “Beyond Corridor Reliability Measures: Analysis of Freeway Travel Time Reliability at the Segment Level for Hot Spot Identification” in Transportation Research Board 89th Annual Meeting. Washington, DC (2010)

Hasan, S., Ben-Akiva, M.E., Choudhury, C., Emmonds, A.: Modeling travel time variability on urban links in London. In: Proceedings of European Transport Conference, the Netherlands (2009)

Rakha, H, El-Shawarby, I, Arafeh, M and Dion, F, “Estimating path travel-time reliability” in proceedings of 9th international IEEE conference on intelligent transportation systems, Toronto, 2006, pp. 236–241

Geroliminis, N., Daganzo, C.: Existence of urban-scale macroscopic fundamental diagrams: some experimental findings. Transp. Res. B Methodol. 42(9), 759–770 (2008). https://doi.org/10.1016/j.trb.2008.02.002 CrossRef

Buisson, C., Ladier, C.: Exploring the impact of homogeneity of traffic measurements on the existence of macroscopic fundamental diagrams. Transp. Res. Rec. J. Transp Res. Board. 2124, 127–136 (2009). https://doi.org/10.3141/2124-12 CrossRef

Ji, Y., Daamen, W., Hoogendoorn, S., Hoogendoorn-Lanser, S., Qian, X.: Investigating the shape of the macroscopic fundamental diagram using simulation data. Transp. Res. Rec. J Transp. Res. Board. 2161, 40–48 (2010). https://doi.org/10.3141/2161-05 CrossRef

Mahmassani, H., Hou, T., Saberi, M.: Connecting networkwide travel time reliability and the network fundamental diagram of traffic flow. Transp. Res. Rec. J. Transp. Res. Board. 2391, 80–91 (2013). https://doi.org/10.3141/2391-08 CrossRef

Bates, J., Fearon, J., Black, I.: Frameworks for modelling the variability of journey times on the highway network. In: Technical Report, ARUP (2004)

10.

Mazloumian, A, Geroliminis, N and Helbing, D, “The spatial variability of vehicle densities as determinant of urban network capacity”, philosophical transactions of the Royal Society a: mathematical, physical and engineering sciences, 368(1928), 2010, pp. 4627-4647, https://doi.org/10.1098/rsta.2010.0099

11.

Geroliminis, N., Sun, J.: Properties of a well-defined macroscopic fundamental diagram for urban traffic. Transp. Res. B Methodol. 45(3), 605–617 (2011). https://doi.org/10.1016/j.trb.2010.11.004 CrossRef

12.

Mittal, A., Mahmassani, H., Talebpour, A.: Network flow relations and travel time reliability in a connected environment. Transp. Res. Rec. J. Transp. Res. Board. 2622, 24–37 (2017). https://doi.org/10.3141/2622-03 CrossRef

13.

Yildirimoglu, M., Koymans, A., Geroliminis, N.: “Exploring the Properties of Mean-Variance Relations in Freeway Travel Times” in Transportation Research Board 92nd Annual Meeting. Washington, DC (2013)

14.

Gayah, V., Dixit, V., Guler, S.: Relationship between mean and day-to-day variation in travel time in urban networks. EURO J Transp. Logist. 3(3-4), 227–243 (2013). https://doi.org/10.1007/s13676-013-0032-2 CrossRef

15.

Van Lint, J., van Zuylen, H., Tu, H.: Travel time unreliability on freeways: why measures based on variance tell only half the story. Transp. Res. A Policy Pract. 42(1), 258–277 (2008). https://doi.org/10.1016/j.tra.2007.08.008 CrossRef

16.

Brownstone, D., Small, K.: Valuing time and reliability: assessing the evidence from road pricing demonstrations. Transp. Res. A Policy Pract. 39(4), 279–293 (2005). https://doi.org/10.1016/j.tra.2004.11.001 CrossRef

17.

Bates, J., Polak, J., Jones, P., Cook, A.: The valuation of reliability for personal travel. Transport Res E-Log. 37(2-3), 191–229 (2001). https://doi.org/10.1016/s1366-5545(00)00011-9 CrossRef

18.

Lam, T., Small, K.: The value of time and reliability: measurement from a value pricing experiment. Transport Res E-Log. 37(2-3), 231–251 (2001). https://doi.org/10.1016/s1366-5545(00)00016-8 CrossRef

19.

Wahaballa, A.M., Kurauchi, F., Takagi, A., Othman, A.M.: Benefits of improvement in travel time reliability resulting from real-time information provision. In: Proceedings of the 5th International Symposium on Transportation Network Reliability, Hong Kong (2012)

20.

Wahaballa, A.M., Kurauchi, F., Takagi, A., Othman, A.M.: Review of benefit evaluation models for travel time reliability improvements. In: Proceedings of the 41st Conference on Infrastructure Planning, p. 2010. Japan Society of Civil Engineering, Nagoya

21.

Prigogine, I., Herman, R.: Kinetic Theory of Vehicular Traffic. Elsevier, New York (1971)MATH

22.

Taylor, M.: Travel time variability—the case of two public modes. Transp. Sci. 16(4), 507–521 (1982). https://doi.org/10.1287/trsc.16.4.507 CrossRef

23.

Mahmassani, H., Hou, T., Dong, J.: Characterizing travel time variability in vehicular traffic networks. Transp. Res. Rec. J. Transp. Res. Board. 2315, 141–152 (2012). https://doi.org/10.3141/2315-15 CrossRef

24.

Saberi, M., Mahmassani, H.: Exploring properties of networkwide flow-density relations in a freeway network. Transp. Res. Rec. J. Transp. Res. Board. 2315, 153–163 (2012). https://doi.org/10.3141/2315-16 CrossRef

25.

Knoop, V, Hoogendoorn, S and van Lint, J, “Routing strategies based on macroscopic fundamental diagram”, Transp. Res. Rec. J. Transp. Res. Board, 2315, 2012, pp. 1–10, https://doi.org/10.3141/2315-01

26.

Zheng, N., Waraich, R., Axhausen, K., Geroliminis, N.: “A dynamic cordon pricing scheme combining the macroscopic fundamental diagram and an agent-based traffic model”, transportation research part a: policy and practice, 46(8), 2012, pp. 1291-1303. https://doi.org/10.1016/j.tra.2012.05.006

27.

Zheng, N., Geroliminis, N.: On the distribution of urban road space for multimodal congested networks. Transp. Res. B Methodol. 57, 326–341 (2013). https://doi.org/10.1016/j.trb.2013.06.003 CrossRef

28.

Fosgerau, M.: On the relation between the mean and variance of delay in dynamic queues with random capacity and demand. J. Econ. Dyn. Control. 34(4), 598–603 (2010). https://doi.org/10.1016/j.jedc.2009.12.002 MathSciNetCrossRefMATH

29.

Vickrey, W.: Congestion theory and transport investment. Am. Econ. Rev. 59(2), 251–260 (1969) http://www.jstor.org/stable/1823678

30.

Gayah, V., Daganzo, C.: Clockwise hysteresis loops in the macroscopic fundamental diagram: an effect of network instability. Transp. Res. B Methodol. 45(4), 643–655 (2011). https://doi.org/10.1016/j.trb.2010.11.006 CrossRef

31.

Edie, L.C.: Discussion of traffic stream measurements and definitions. In: Almond, J. (ed.) Proceedings of the 2nd International Symposium on the Theory of Traffic Flow, pp. 139–154. OECD, Paris (1963)

32.

Treiterer, J., Myers, J.: “The hysteresis phenomenon in traffic flow” in proceedings of the 6th international symposium on transportation and traffic theory. ISTTT. 6, 13–38 (1974)

33.

Zhang, H.: A mathematical theory of traffic hysteresis. Transp. Res. B Methodol. 33(1), 1–23 (1999). https://doi.org/10.1016/s0191-2615(98)00022-8 MathSciNetCrossRef

34.

Nagel, K, and Flötteröd, G, “Agent-Based Traffic Assignment: Going from Trips to Behavioral Travelers” in Proceedings of the 12th International Conference on Travel Behaviour Research (IATBR), Jaipur, 2009

35.

Chakirov, A., Fourie, P.: Enriched Sioux Falls scenario with dynamic and disaggregate demand. Arbeitsberichte Verkehrs-und Raumplanung. 978, 2014 (2014) http://hdl.handle.net/20.500.11850/80996

36.

Rieser, M., Grether, D., Nagel, K.: Adding mode choice to multiagent transport simulation. Trans. Res. Rec. J. Transp. Res. Board. 2132, 50–58 (2009). https://doi.org/10.3141/2132-06 CrossRef

37.

Hemdan, S., Wahaballa, A.M., Kurauchi, F.: Quantification of the hysteresis of macroscopic fundamental diagrams and its relationship with the congestion heterogeneity and performance of a multimodal network. J. Transp. Technol. 8(1), 44–64 (2018). https://doi.org/10.4236/jtts.2018.81003 CrossRef

38.

Hemdan, S., Wahaballa, A.M., Kurauchi, F.: Evaluating travel choices effect on multimodal network performance using vehicle and passenger macroscopic fundamental diagrams. J East Asia Soc. Transp. Studies. 12, 1710–1727 (2017). https://doi.org/10.11175/easts.12.1710

39.

Rieser, M.: Adding Transit to an Agent-Based Transportation Simulation. PhD dissertation, Swiss Federal Institute of Technology (2010)

40.

Grether, D., Chen, Y., Rieser, M., Nagel, K.: “Effects of a Simple Mode Choice Model in a Large-Scale Agent-Based Transport Simulation”, in Advances in Spatial Science, pp. 167–186. Complexity and Spatial Networks, Springer Berlin Heidelberg (2009)

41.

Horni, A, Charypar, D and Axhausen, K.W, “Variability in Transport Microsimulations Investigated for MATSim: Preliminary Results”, Eidgenössische Technische Hochschule Zürich, Institut für Verkehrsplanung und Transportsysteme, 2011

Title: Travel Time Variability and Macroscopic Fundamental Diagram Relationships in Multimodal Networks
Authors: Seham Hemdan
Amr M. Wahaballa
Fumitaka Kurauchi
Publication date: 10-07-2018
Publisher: Springer US
Published in: International Journal of Intelligent Transportation Systems Research / Issue 2/2019
Print ISSN: 1348-8503
Electronic ISSN: 1868-8659
DOI: https://doi.org/10.1007/s13177-018-0161-y

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

ATZelectronics worldwide

Springer Professional "Technik"

ATZelektronik

Other articles of this Issue 2/2019

Combining Local Search into Genetic Algorithm for Bus Schedule Coordination through Small Timetable Modifications

Impact Analysis of Rainfall on Traffic Flow Characteristics in Beijing

On Designing Near-Optimum Paths on Weighted Regions for an Intelligent Vehicle

Predicting Air Quality by Integrating a Mesoscopic Traffic Simulation Model and Simplified Air Pollutant Estimation Models

Steering Control and Automatic Tuning to Compensate for Road Cant

A Hybrid and Adaptive Metaheuristic for the Rebalancing Problem in Public Bicycle Systems

Premium Partners