In-cab alerts warn commercial vehicle drivers of upcoming roadway incidents, slowdowns and work zone construction activities. This paper reports on a study evaluating the driver response to in-cab alerts in Ohio. Driver response was evaluated by measuring the statistical trends of vehicle speeds after the in-cab alerts were received. Vehicle speeds pre and post in-cab alert were collected over a 47 day period in the fall of 2023 for trucks traveling on interstate roadways in Ohio. Results show that approximately 22% of drivers receiving Dangerous Slowdown alerts had reduced their speeds by at least 5 mph 30 seconds after receiving such an alert. Segmenting this analysis by speed found that of vehicles traveling at or above 70 mph at the time of alerting, 26% reduced speeds by at least 5 mph. These speed reductions suggest drivers taking actional measures after receiving alerts. Future studies will involve further analysis on the impact of the types of alerts shown, roadway characteristics and overall traffic conditions on truck speeds passing through work zones.
References
[1]
Federal Highway Administration (2024) Table VM-1—Highway Statistics 2022—Policy. https://www.fhwa.dot.gov/policyinformation/statistics/2022/vm1.cfm
[2]
Federal Motor Carrier Safety Administration. Large Truck and Bus Crash Facts 2021. https://www.fmcsa.dot.gov/safety/data-and-statistics/large-truck-and-bus-crash-facts-2021#A5
[3]
Federal Motor Carrier Safety Administration (2023) Pocket Guide to Large Truck and Bus Statistics. Federal Motor Carrier Safety Administration, RRA-23-003.
[4]
McKnight, A.J. and Bahouth, G.T. (2008) Analysis of Large Truck Rollover Crashes. Annals of Advances in Automotive Medicine, 52, 281-288.
[5]
Federal Motor Carrier Safety Administration. Cargo Tank Rollover|Myths and Truths. https://www.fmcsa.dot.gov/sites/fmcsa.dot.gov/files/docs/Cargo_Tank_Rollover_Fact_Sheet_V2_508.pdf
[6]
Orsi, C., Morandi, A. and Marinoni, A. (2010) Road Accident Causes among Truck Drivers: A Multicentric Study. Injury Prevention, 16, A143. https://doi.org/10.1136/ip.2010.029215.514
[7]
Waskito, D.H., et al. (2024) Analysing the Impact of Human Error on the Severity of Truck Accidents through HFACS and Bayesian Network Models. Safety, 10, Art. No. 1. https://doi.org/10.3390/safety10010008
[8]
Paleti, R., Eluru, N. and Bhat, C.R. (2010) Examining the Influence of Aggressive Driving Behavior on Driver Injury Severity in Traffic Crashes. Accident Analysis & Prevention, 42, 1839-1854. https://doi.org/10.1016/j.aap.2010.05.005
[9]
Federal Highway Administration. Infrastructure Safety Practices for Commercial Motor Vehicles-Safety. https://safety.fhwa.dot.gov/cmv_rtc/ch1.cfm
[10]
Moomen, M., Rezapour, M., Raja, M.N. and Ksaibati, K. (2019) Evaluating the Safety Effectiveness of Downgrade Warning Signs on Vehicle Crashes on Wyoming Mountain Passes. Cogent Engineering, 6, Article ID: 1580405. https://doi.org/10.1080/23311916.2019.1580405
[11]
Mulinazzi, T. and Schrock, S. (2010) Mitigating Wind Induced Truck Crashes. Mid-America Transportation Center: Final Reports and Technical Briefs. https://digitalcommons.unl.edu/matcreports/98
[12]
Sakhare, R.S., Mahlberg, J., Mathew, J., Desai, J., Li, H. and Bullock, D. (2022) Impacts to Traffic Behavior from Queue Warning Truck: Current Pilot Project. JTRP Technical Reports.
[13]
Wang, M.-H., Schrock, S.D., Bai, Y. and Rescot, R.A. (2013) Evaluation of Innovative Traffic Safety Devices at Short-Term Work Zones. K-TRAN: KU-09-5R. https://rosap.ntl.bts.gov/view/dot/26339
[14]
Strickland, R.R. and McGee, H.W. (1998) Evaluation Results of Three Prototype Automatic Truck Rollover Warning Systems. Transportation Research Record, 1628, 41-49. https://doi.org/10.3141/1628-06
[15]
Bai, Y., Finger, K. and Li, Y. (2010) Analyzing Motorists’ Responses to Temporary Signage in Highway Work Zones. Safety Science, 48, 215-221. https://doi.org/10.1016/j.ssci.2009.08.005
[16]
Middleton, D.R. (1994) A Study of Selected Warning Devices for Reducing Truck Speeds. Texas Transportation Institute, Austin, FHWA/TX-95/1232-28. https://www.proquest.com/docview/304165176/abstract/BC19DBF99F614C72PQ/1
[17]
Khazraeian, S., Hadi, M. and Xiao, Y. (2017) Safety Impacts of Queue Warning in a Connected Vehicle Environment. Transportation Research Record, 2621, 31-37. https://doi.org/10.3141/2621-04
[18]
Cárdenas-Benítez, N., Aquino-Santos, R., Magaña-Espinoza, P., Aguilar-Velazco, J., Ed-wards-Block, A. and Medina Cass, A. (2016) Traffic Congestion Detection System through Connected Vehicles and Big Data. Sensors, 16, Article No. 5. https://doi.org/10.3390/s16050599
[19]
Mathew, J.K., Desai, J.C., Sakhare, R.S., Kim, W., Li, H. and Bullock, D.M. (2021) Big Data Applications for Managing Roadways. ITE Journal, 91, 28-35.
[20]
Mathew, J.K., et al. (2023) Methodology for Automatically Setting Camera View to Mile Marker for Traffic Incident Management. JTTs, 13, 708-730. https://doi.org/10.4236/jtts.2023.134033
[21]
Sakhare, R.S., et al. (2021) Evaluation of the Impact of Queue Trucks with Navigation Alerts Using Connected Vehicle Data. Journal of Transportation Technologies, 11, Article No. 4. https://doi.org/10.4236/jtts.2021.114035
[22]
Federal Highway Administration. Responder-to-Vehicle Alerts Factsheet. https://ops.fhwa.dot.gov/tim/docs/edc-6_factsheet_tim_responder-to-vehicle alerts_v2_508.pdf
[23]
Zhang, Z., et al. (2021) Implementation and Performance Evaluation of In-Vehicle Highway Back-of-Queue Alerting System Using the Driving Simulator. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, 19-22 September 2021, 1753-1759. https://doi.org/10.1109/ITSC48978.2021.9565067
[24]
EDC-6: Next-Generation TIM: Integrating Technology, Data, and Training. Federal Highway Administration. https://www.fhwa.dot.gov/innovation/everydaycounts/edc_6/nextgen_tim.cfm
[25]
Raddaoui, O. and Ahmed, M.M. (2020) Evaluating the Effects of Connected Vehicle Weather and Work Zone Warnings on Truck Drivers’ Workload and Distraction Using Eye Glance Behavior. Transportation Research Record, 2674, 293-304. https://doi.org/10.1177/0361198120910743
[26]
Raddaoui, O., Ahmed, M.M. and Gaweesh, S.M. (2020) Assessment of the Effectiveness of Connected Vehicle Weather and Work Zone Warnings in Improving Truck Driver Safety. IATSS Research, 44, 230-237. https://doi.org/10.1016/j.iatssr.2020.01.001
[27]
Khoda Bakhshi, A., Gaweesh, S.M. and Ahmed, M.M. (2021) The Safety Performance of Connected Vehicles on Slippery Horizontal Curves through Enhancing Truck Drivers’ Situational Awareness: A Driving Simulator Experiment. Transportation Research Part F: Traffic Psychology and Behaviour, 79, 118-138. https://doi.org/10.1016/j.trf.2021.04.017
[28]
Howell, B., Walton, J. and Koo, J. (2021) In-Cab Alert System for Commercial Motor Vehicle Drivers. KTC-21-28/RSF19-73-1F. https://uknowledge.uky.edu/ktc_researchreports/1736
[29]
Virginia Transportation Research Council. Evaluation of a Truck In-Cab Alert System. https://rip.trb.org/View/2239598
[30]
Li, H., Remias, S.M., Day, C.M., Mekker, M.M., Sturdevant, J.R. and Bullock, D.M. (2015) Shock Wave Boundary Identification Using Cloud-Based Probe Data. Transportation Research Record, 2526, 51-60. https://doi.org/10.3141/2526-06
[31]
Desai, J., Li, H., Mathew, J.K., Cheng, Y.-T., Habib, A. and Bullock, D.M. (2021) Correlating Hard-Braking Activity with Crash Occurrences on Interstate Construction Projects in Indiana. Journal of Big Data Analytics in Transportation, 3, 27-41. https://doi.org/10.1007/s42421-020-00024-x
[32]
Hunter, M., Saldivar-Carranza, E., Desai, J., Mathew, J.K., Li, H. and Bullock, D.M. (2021) A Proactive Approach to Evaluating Intersection Safety Using Hard-Braking Data. Journal of Big Data Analytics in Transportation, 3, 81-94. https://doi.org/10.1007/s42421-021-00039-y
