© The Institution of Engineering and Technology
The traditional roadway level of service (LOS) is based on the volume–capacity (V/C) ratio, which measures the volume of traffic. However, this approach does not follow the green transport trend, and it lacks the comprehensive concepts of time cost, environmental protection, and potential social cost of traffic safety. Given the international focus on the development of green economies and transport, this study examined freeways in Taiwan to establish three indicators: cost of travel delay, cost of incremental carbon emissions, and cost of potential accidents. Traffic data from the electronic toll collection system in Taiwan were collected and analysed according to three factors derived from different traffic volumes and travel speeds: time cost, pollution, and traffic safety. The results were integrated into a traffic green safety index to replace the overall evaluation standard for traditional freeway LOS. This index is intended for use in an online software application.
References
-
-
1)
-
28. TUV Rheinland Taiwan Ltd: ‘Electronic toll collection in distance-based Stage MLFF system Independent Verification and Validation (IV&V) Test Report’ (Publisher, 2013).
-
2)
-
3)
-
16. Heres-Del-Valle, D., Niemeier, D.: ‘CO2 emissions are land-use changes enough for California to reduce VMT specification of a two-part model with instrumental variables’, Transp. Res. B, Methodol., 2011, 45, (1), pp. 150–161 (doi: 10.1016/j.trb.2010.04.001).
-
4)
-
22. Wang, J., Cong, H., Qiao, S.: ‘Estimating freeway incident duration using accelerated failure time modeling’, Safety Sci., 2013, 54, pp. 43–50 (doi: 10.1016/j.ssci.2012.11.009).
-
5)
-
20. Li, R., Guo, M.: ‘Competing risks analysis on traffic accident duration time’, J. Adv. Transp., 2015, 49, (3), pp. 402–415 (doi: 10.1002/atr.1279).
-
6)
-
30. Environmental Protection Administration, E.Y., R.O.C. (Taiwan): ‘Taiwan's air pollution emissions [TEDS8] emission line source – Collocation manual’ (Publisher, 2014).
-
7)
-
26. Institute of Transportation, Ministry of Transportation and Communications: ‘Inventory of Energy Consumption and Greenhouse Gas Emissions in Transportation Sector (3/3) – Developing Energy Efficiency Indicator and Modeling Energy Consumption for Transportation Sector’ (Publisher, 2011).
-
8)
-
9. Bektaş, T., Laporte, G.: ‘The pollution-routing problem’, Transp. Res. B, Methodol., 2011, 45, (8), pp. 1232–1250 (doi: 10.1016/j.trb.2011.02.004).
-
9)
-
33. Institute of Transportation, Ministry of Transportation and Communications: ‘Series of the fifth Taiwan area comprehensive transport planning research – a study on reviewing the intercity transportation system demand model as well as updating parameters’. 2014.
-
10)
-
17. Nie, Y., Li, Q.: ‘An eco-routing model considering microscopic vehicle operating conditions’, Transp. Res. B, Methodol., 2013, 55, pp. 154–170 (doi: 10.1016/j.trb.2013.06.004).
-
11)
-
19. Newstead, S.V., Keall, M.D., Watson, L.M.: ‘Rating the overall secondary safety of vehicles from real world crash data: the Australian and New Zealand total secondary safety index’, Accid. Anal. Prev., 2011, 43, (3), pp. 637–645 (doi: 10.1016/j.aap.2010.10.005).
-
12)
-
10. Uchida, K.: ‘Estimating the value of travel time and of travel time reliability in road networks’, Transp. Res. B, Methodol., 2014, 66, pp. 129–147 (doi: 10.1016/j.trb.2014.01.002).
-
13)
-
12. Kouwenhoven, M., de Jong, G.C., Koster, P., et al: ‘New values of time and reliability in passenger transport in the Netherlands’, Res. Transp. Econ., 2014, 47, (0), pp. 37–49 (doi: 10.1016/j.retrec.2014.09.017).
-
14)
-
22. Kolosz, B., Grant-Muller, S., Djemame, K.: ‘Modelling uncertainty in the sustainability of intelligent transport systems for highways using probabilistic data fusion’, Environ. Modell. Softw., 2013, 49, pp. 78–97 (doi: 10.1016/j.envsoft.2013.07.011).
-
15)
-
1. Environmental Protection Administration, E.Y., R.O.C. (Taiwan): ‘Taiwan climate adaptation knowledge platform’. .
-
16)
-
21. Jamson, S., Wardman, M., Batley, R., et al: ‘Developing a driving safety index using a Delphi stated preference experiment’, Accid. Anal. Prev., 2008, 40, (2), pp. 435–442 (doi: 10.1016/j.aap.2007.07.014).
-
17)
-
27. ‘National Taiwan University. Neural Network Laboratory’. .
-
18)
-
14. Chang, T.-H., Chueh, C.-H.: ‘Development of time-dependent backward route planning system’, J. Chin. Inst. Transp., 2013, 25, (2), pp. 169–198.
-
19)
-
5. Institute of Transportation, Ministry of Transportation and Communications: ‘2011 Highway capacity manual in Taiwan’ (Publisher, 2012).
-
20)
-
2. Institute of Transportation, Ministry of Transportation and Communications: ‘Planning for the cost-benefit evaluation tools and database of ITS energy saving and carbon reduction’ (Publisher, 2012).
-
21)
-
23. Chang, T.H., Chen, A.Y., Chang, C.W., et al: ‘Traffic speed estimation through data fusion from heterogeneous sources for first response deployment’, J. Comput. Civ. Eng., 2014, 28, (6), pp. 1–13 (doi: 10.1061/(ASCE)CP.1943-5487.0000379).
-
22)
-
29. Chang, S.-K., Guo, Y.-J.: ‘Development of urban full trip cost models’, Transp. Planning J., 2007, 36, (2), pp. 147–182.
-
23)
-
25. May, A.D.: ‘Traffic flow fundamentals’ (Prentice-Hall Inc Press, New Jersey, 1990).
-
24)
-
3. Bureau of Energy, Ministry of Economic Affairs: ‘Of carbon dioxide emissions from fuel combustion statistics in Taiwan’ (Publisher, 2014).
-
25)
-
6. SafetyNet: ‘State of the art report on road safety performance indicators, D3.1’ (Publisher, 2005).
-
26)
-
32. ‘Taiwan Area National Freeway Bureau, Ministry of Transportation and Communications’. .
-
27)
-
15. Liu, Y.L., Ge, Y.E., Gao, H.O.: ‘Improving estimates of transportation emissions: modeling hourly truck traffic using period-based car volume data’, Transp. Res. D, Transp. Environ., 2014, 26, pp. 32–41 (doi: 10.1016/j.trd.2013.10.007).
-
28)
-
8. Hermans, E., Bossche, F. Van den, Wets, G.: ‘Uncertainty assessment of the road safety index’, Reliab. Eng. Syst. Saf., 2009, 94, (7), pp. 1220–1228 (doi: 10.1016/j.ress.2008.09.004).
-
29)
-
13. Wang, X., Chen, X.: ‘Travel time estimation of a single segment based on freeway toll data, in CICTP 2014’ (American Society of Civil Engineers, 2014), pp. 2161–2174.
-
30)
-
4. Transportation Research Board: ‘Highway capacity manual 2010’ (Transportation Research Board of the National Academies, Washington, D. C., , 2010).
-
31)
-
11. Zongwei, T., Spotts, J., Lu, B., et al: ‘Forecasting and delivery of highway travel time reliability information’ (Transportation Research Board of the National Academies, 2012).
-
32)
-
33)
-
31. Taiwan Emission Trading Association: ‘Taiwan's carbon emissions trading’. .
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2015.0086
Related content
content/journals/10.1049/iet-its.2015.0086
pub_keyword,iet_inspecKeyword,pub_concept
6
6