52
M. L. de Barros Baltar et al.
13. Chung Y, Cho H, Choi K (2013) Impacts of freeway accidents on CO 2 emissions: a case study
for Orange County, California, US. Trans Res Part D: Trans Environ 24:120–126. https://doi.
org/10.1016/j.trd.2013.06.005
14. DECC—Department of Energy & Climate Change (2014) 2012 UK Greenhouse Gas
Emissions. Final Figures. Department of Energy & Climate Change, London, UK
15. De Palma A, Lindsey R (2011) Traffic congestion pricing methodologies and technologies.
Trans Res Part C: Emerg Technol 19(6):1377–1399. https://doi.org/10.1016/j.trc.2011.02.010
16. Fagnant DJ, Kockelman K (2015) Preparing a nation for autonomous vehicles: opportunities,
barriers and policy recommendations. Transp Res Part A: Policy Pract 77:167–181. https://doi.
org/10.1016/j.tra.2015.04.003
17. FHWA—Federal Highway Administration. (2004). Incident characteristics and impact on
freeway traffic. Report nº FHWA/TX-05/0-4745-1
18. Figliozzi MA (2011) The impacts of congestion on time-definitive urban freight distribution
networks CO 2 emission levels: results from a case study in Portland, Oregon. Transp Res Part
C: Emerg Technol 19(5):766–778. https://doi.org/10.1016/j.trc.2010.11.002
19. Fogliatti MC, Mattos NMC (2006) Teoria de filas (Queuing theory). Editora Interciência
(Publisher Interciência), Rio de Janeiro City
20. Geroliminis N, Karlaftis MG, Skabardonis A (2009) A spatial queuing model for the emergency
vehicle districting and location problem. Transp Res Part B: Methodol 43(7):798–811. https://
doi.org/10.1016/j.trb.2009.01.006
21. Guerrieri M, Mauro R (2016) Capacity and safety analysis of hard-shoulder running (HRS): a
motorway case study. Transp Res Part A: Policy Pract 92:162–183. https://doi.org/10.1016/j.
tra.2016.08.003
22. Grote M, Williams I, Preston J, Kemp S (2016) Including congestion effects in urban road
traffic CO 2 emissions modelling: Do Local Government Authorities have the right options?
Transp Res Part D: Transp Environ 43:95–106. https://doi.org/10.1016/j.trd.2015.12.010
23. Haque M, Chin H, Debnath A (2013) Sustainable, safe, smart—three key elements of Singapore’s evolving transport policies. Transp Policy 27:20–31. https://doi.org/10.1016/j.tranpol.
2012.11.017
24. Haule HJ, Sando T, Lentz R, Chuan C-H, Alluri P (2019) Evaluating the impact and clearance
duration of freeway incidents. Int J Transp Sci Technol. https://doi.org/10.1016/j.ijtst.2018.
06.005
25. Hickman J, Hassel D, Joumard R, Samaras Z, Sorenson S (1999) Methodology for calculating
transport emissions and energy consumption. Int J Transp Sci Technol 8:13–24
26. IPCC—Intergovernmental Panel on Climate Change. (2014). Climate Change 2014: Mitigation
of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA
27. Jabali O, Van Woensel T, de Kok AG (2012) Analysis of travel times and CO 2 emissions
in time-dependent vehicle routing. Product Oper Manag 21(6):1060–1074. https://doi.org/10.
1111/j.1937-5956.2012.01338.x
28. Kalra N, Paddock SM (2016) Driving to safety: how many miles of driving would it take
to demonstrate autonomous vehicle reliability? Transp Res Part A: Policy Pract 94:182–193.
https://doi.org/10.1016/j.tra.2016.09.010
29. King D, Inderwildi O, Carey C, Santos G, Yan X, Behrendt H, Holdway A, Owen N, Shirvani
T, Teytelboym A (2010) Future of mobility roadmap—ways to reduce emissions while keeping
mobile. Smith School of Enterprise and the Environment, Oxford, UK
30. Kingham S, Sabel C, Bartie P (2011) The impact of the ‘school run’ on road traffic accidents: A
spatio-temporal analysis. J Trans Geograph 19(4):705–711. https://doi.org/10.1016/j.jtrangeo.
2010.08.011
31. Le Vine S, Zolfaghari A, Polak J (2015) Autonomous cars: the tension between occupant
experience and intersection capacity. Transp Res Part C: Emerg Technol 52:1–14. https://doi.
org/10.1016/j.trc.2015.01.002
M. L. de Barros Baltar et al.
13. Chung Y, Cho H, Choi K (2013) Impacts of freeway accidents on CO 2 emissions: a case study
for Orange County, California, US. Trans Res Part D: Trans Environ 24:120–126. https://doi.
org/10.1016/j.trd.2013.06.005
14. DECC—Department of Energy & Climate Change (2014) 2012 UK Greenhouse Gas
Emissions. Final Figures. Department of Energy & Climate Change, London, UK
15. De Palma A, Lindsey R (2011) Traffic congestion pricing methodologies and technologies.
Trans Res Part C: Emerg Technol 19(6):1377–1399. https://doi.org/10.1016/j.trc.2011.02.010
16. Fagnant DJ, Kockelman K (2015) Preparing a nation for autonomous vehicles: opportunities,
barriers and policy recommendations. Transp Res Part A: Policy Pract 77:167–181. https://doi.
org/10.1016/j.tra.2015.04.003
17. FHWA—Federal Highway Administration. (2004). Incident characteristics and impact on
freeway traffic. Report nº FHWA/TX-05/0-4745-1
18. Figliozzi MA (2011) The impacts of congestion on time-definitive urban freight distribution
networks CO 2 emission levels: results from a case study in Portland, Oregon. Transp Res Part
C: Emerg Technol 19(5):766–778. https://doi.org/10.1016/j.trc.2010.11.002
19. Fogliatti MC, Mattos NMC (2006) Teoria de filas (Queuing theory). Editora Interciência
(Publisher Interciência), Rio de Janeiro City
20. Geroliminis N, Karlaftis MG, Skabardonis A (2009) A spatial queuing model for the emergency
vehicle districting and location problem. Transp Res Part B: Methodol 43(7):798–811. https://
doi.org/10.1016/j.trb.2009.01.006
21. Guerrieri M, Mauro R (2016) Capacity and safety analysis of hard-shoulder running (HRS): a
motorway case study. Transp Res Part A: Policy Pract 92:162–183. https://doi.org/10.1016/j.
tra.2016.08.003
22. Grote M, Williams I, Preston J, Kemp S (2016) Including congestion effects in urban road
traffic CO 2 emissions modelling: Do Local Government Authorities have the right options?
Transp Res Part D: Transp Environ 43:95–106. https://doi.org/10.1016/j.trd.2015.12.010
23. Haque M, Chin H, Debnath A (2013) Sustainable, safe, smart—three key elements of Singapore’s evolving transport policies. Transp Policy 27:20–31. https://doi.org/10.1016/j.tranpol.
2012.11.017
24. Haule HJ, Sando T, Lentz R, Chuan C-H, Alluri P (2019) Evaluating the impact and clearance
duration of freeway incidents. Int J Transp Sci Technol. https://doi.org/10.1016/j.ijtst.2018.
06.005
25. Hickman J, Hassel D, Joumard R, Samaras Z, Sorenson S (1999) Methodology for calculating
transport emissions and energy consumption. Int J Transp Sci Technol 8:13–24
26. IPCC—Intergovernmental Panel on Climate Change. (2014). Climate Change 2014: Mitigation
of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA
27. Jabali O, Van Woensel T, de Kok AG (2012) Analysis of travel times and CO 2 emissions
in time-dependent vehicle routing. Product Oper Manag 21(6):1060–1074. https://doi.org/10.
1111/j.1937-5956.2012.01338.x
28. Kalra N, Paddock SM (2016) Driving to safety: how many miles of driving would it take
to demonstrate autonomous vehicle reliability? Transp Res Part A: Policy Pract 94:182–193.
https://doi.org/10.1016/j.tra.2016.09.010
29. King D, Inderwildi O, Carey C, Santos G, Yan X, Behrendt H, Holdway A, Owen N, Shirvani
T, Teytelboym A (2010) Future of mobility roadmap—ways to reduce emissions while keeping
mobile. Smith School of Enterprise and the Environment, Oxford, UK
30. Kingham S, Sabel C, Bartie P (2011) The impact of the ‘school run’ on road traffic accidents: A
spatio-temporal analysis. J Trans Geograph 19(4):705–711. https://doi.org/10.1016/j.jtrangeo.
2010.08.011
31. Le Vine S, Zolfaghari A, Polak J (2015) Autonomous cars: the tension between occupant
experience and intersection capacity. Transp Res Part C: Emerg Technol 52:1–14. https://doi.
org/10.1016/j.trc.2015.01.002