TY - GEN
T1 - Parameters Affecting Professional Driver Response to VMS Messages
AU - Poulopoulou, Maria
AU - Spyropoulou, Ioanna
AU - Antoniou, Constantinos
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Professional drivers, in this case truck drivers and taxi drivers, exhibit distinct behavioural characteristics concerning route choice compared to the rest of the driving population. At the same time the number of such drivers in urban areas is considerable and their impact on traffic conditions substantial. This work attempts to identify parameters that affect professional driver response to traffic-related information transmitted via Variable Message Signs (VMS), under incident occurrence. A stated preference questionnaire survey is designed and distributed to about 100 taxi drivers and 100 truck drivers, operating in the city of Athens. Ordered probit models with random effects that highlight the contributory factors of driver response, concerning route choice, are specified and estimated. Message characteristics, in particular information on incident impact (delay) and provision of an alternative route, influence driver response, whereas incident cause does not. Specific trip and driver characteristics are also identified as contributory factors.
AB - Professional drivers, in this case truck drivers and taxi drivers, exhibit distinct behavioural characteristics concerning route choice compared to the rest of the driving population. At the same time the number of such drivers in urban areas is considerable and their impact on traffic conditions substantial. This work attempts to identify parameters that affect professional driver response to traffic-related information transmitted via Variable Message Signs (VMS), under incident occurrence. A stated preference questionnaire survey is designed and distributed to about 100 taxi drivers and 100 truck drivers, operating in the city of Athens. Ordered probit models with random effects that highlight the contributory factors of driver response, concerning route choice, are specified and estimated. Message characteristics, in particular information on incident impact (delay) and provision of an alternative route, influence driver response, whereas incident cause does not. Specific trip and driver characteristics are also identified as contributory factors.
KW - Diversion
KW - Random-effects probit model
KW - Real-time information
KW - Route choice
KW - Taxi drivers
KW - Truck drivers
UR - http://www.scopus.com/inward/record.url?scp=84950278582&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2015.255
DO - 10.1109/ITSC.2015.255
M3 - Conference contribution
AN - SCOPUS:84950278582
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 1563
EP - 1568
BT - Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Y2 - 15 September 2015 through 18 September 2015
ER -