Environmental impacts from traffic on highway construction work zones: Framework and simulations

被引:2
|
作者
Kim, Changmo [1 ,2 ]
Butt, Ali Azhar [1 ,2 ]
Harvey, John T. [1 ,2 ]
Ostovar, Maryam [2 ]
机构
[1] Univ Calif Pavement Res Ctr, Davis, CA 95616 USA
[2] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
关键词
Construction work zone; freeway/highways; greenhouse gas emissions; life cycle assessment; pilot car operations; POLLUTANT EMISSIONS;
D O I
10.1080/15568318.2024.2392624
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Emissions from internal combustion engine vehicles on highways are the major contributors to global warming in the United States. Transportation sector pavement-related emissions come from gasolines and diesel use in vehicles from pavement-vehicle interaction, which is affected by pavement conditions, and by the trucking of new pavement materials and demolition. The objective of this study was to develop a framework for determining the fuel use resulting in environmental impacts caused by construction work zones (CWZs) on a range of vehicles and to produce initial calculations of these impacts by modeling traffic closure conditions for highway maintenance and rehabilitation activities. The study included two common highway categories-freeways/multi-lane highways and two-lane highways. The framework was demonstrated using three CWZ operations under different traffic congestion levels. In the simulation results for a freeway with a CWZ and heavy congestion, fuel consumption increased by 85% and the carbon-dioxide equivalent emissions increased by 86%. Changing CWZ traffic congestion from heavy (average speed 5 mph) to medium (average speed 25 mph for a freeway section) reduced fuel consumption by 40% on a freeway. This study also included use of a pilot car in a CWZ on a two-lane road typical of lower traffic volume state highways and county roads to compare with the drive cycles in MOVES used for the scenarios. The pilot-car operation scenario results indicate that a one-lane closure with pilot-car operation on a two-lane road might consume 13% excess fuel because of idling time and the slow movement of vehicles following the pilot car.
引用
收藏
页码:680 / 694
页数:15
相关论文
共 50 条
  • [11] Model for analysis of factors affecting construction schedule in highway work zones
    Sukumaran, Praveen
    Bayraktar, Mehmet Emre
    Hong, TaeHoon
    Hastak, Makarand
    JOURNAL OF TRANSPORTATION ENGINEERING, 2006, 132 (06) : 508 - 517
  • [12] Probabilistic speed-flow models in highway construction work zones
    Weng, Jinxian
    Chen, Qiang
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT, 2023, 176 (02) : 110 - 116
  • [13] Feedback Traffic Control at Highway Work Zones using Variable Speed Limits
    Papamichail, Ioannis
    Papageorgiou, Markos
    Stamatakis, Ioannis
    IFAC PAPERSONLINE, 2018, 51 (09): : 329 - 336
  • [14] Scheduling highway work zones with genetic algorithm considering the impact of traffic diversion
    Chien, Steven I-Jy
    Tang, Yimin
    JOURNAL OF ADVANCED TRANSPORTATION, 2014, 48 (04) : 287 - 303
  • [15] Measuring Traffic in Short-Term Construction Work Zones
    Bathula, Manohar
    Ramezanali, Mehrdad
    Pradhan, Ishu
    Patel, Nilesh
    Gotschall, Joe
    Sridhar, Nigamanth
    2009 INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN 2009), 2009, : 361 - 362
  • [16] Vibrotactile Alerting to Prevent Accidents in Highway Construction Work Zones: An Exploratory Study
    Yang, Xiang
    Roofigari-Esfahan, Nazila
    SENSORS, 2023, 23 (12)
  • [17] Fatal accidents in nighttime vs. daytime highway construction work zones
    Arditi, David
    Lee, Dong-Eun
    Polat, Gul
    JOURNAL OF SAFETY RESEARCH, 2007, 38 (04) : 399 - 405
  • [18] Fuel Consumption and Greenhouse Gas Emissions from On-Road Vehicles on Highway Construction Work Zones
    Kim, C.
    Ostovar, M.
    Butt, A. A.
    Harvey, J. T.
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2018: PLANNING, SUSTAINABILITY, AND INFRASTRUCTURE SYSTEMS, 2018, : 288 - 298
  • [19] Quantification of the Environmental Impacts of Highway Construction Using Remote Sensing Approach
    Feng, Shuailong
    Liu, Shuguang
    Jing, Lei
    Zhu, Yu
    Yan, Wende
    Jiang, Bingchun
    Liu, Maochou
    Lu, Weizhi
    Ning, Ying
    Wang, Zhao
    Li, Qinyuan
    Jia, Jingni
    REMOTE SENSING, 2021, 13 (07)
  • [20] Multicontextual Machine-Learning Approach to Modeling Traffic Impact of Urban Highway Work Zones
    Bae, Junseo
    Choi, Kunhee
    Oh, Jeong Ho
    TRANSPORTATION RESEARCH RECORD, 2017, (2645) : 184 - 194