Impact on Road Safety and Operation of Rerouting Traffic in Rural Travel Time Information System

The Travel Time Information System (TTIS) is an Intelligent Traffic Control System installed in Poland. As is common, travel time is the only factor in the decision about rerouting traffic, while a route recommendation may consider multiple criteria, including road safety. The aim of the paper is to analyze the safety level of the entire road network when traffic is rerouted on paths with different road categories, intersection types, road environments, and densities of access points. Furthermore, a comparison between traffic operation and road safety performance was carried out, considering travel time and delay, and we predicted the number of crashes for each possible route. The results of the present study allow for maximizing safety or traffic operation characteristics, providing an effective tool in the management of the rural road system. The paper provides a methodology that can be transferred to other TTISs for real-time management of the road network.

[1]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[2]  Baher Abdulhai,et al.  Safety benefits of dynamic route guidance: boon or boondoggle? , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[3]  R. H. Myers Classical and modern regression with applications , 1986 .

[4]  B Stoneman THE EFFECTS OF DYNAMIC ROUTE GUIDANCE IN LONDON , 1992 .

[5]  Ezra Hauer,et al.  The Art of Regression Modeling in Road Safety , 2014 .

[6]  Hesham A. Rakha,et al.  Empirical Study of Effect of Dynamic Travel Time Information on Driver Route Choice Behavior , 2020, Sensors.

[7]  P C Hughes,et al.  Accident - and travel time-minimising routeing patterns in congested networks , 1993 .

[8]  Salvatore Cafiso,et al.  Investigating Influence of Segmentation in Estimating Safety Performance Functions for Roadway Sections , 2013 .

[9]  Salvatore Cafiso,et al.  Safety performance function for motorways using generalized estimation equations , 2012 .

[10]  R Kulmala,et al.  SAFETY AT RURAL THREE- AND FOUR-ARM JUNCTIONS. DEVELOPMENT AND APPLICATION OF ACCIDENT PREDICTION MODELS. , 1995 .

[11]  Bhagwant Persaud,et al.  Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure , 2000 .

[12]  Xavier Fageda,et al.  Congestion, Road Safety, and the Effectiveness of Public Policies in Urban Areas , 2019, Sustainability.

[13]  A. Nicholson,et al.  ESTIMATING ACCIDENTS IN A ROAD NETWORK , 1996 .

[14]  Mike McDonald,et al.  The Network Safety Effects of Dynamic Route Guidance , 1999, J. Intell. Transp. Syst..

[15]  Salvatore Cafiso,et al.  Investigating the influence of passing relief lane sections on safety and traffic performance , 2017 .

[16]  Salvatore Cafiso,et al.  Application of an Intelligent Transportation System in a Travel Time Information System: Safety Assessment and Management , 2017 .

[17]  Carmelo D'Agostino,et al.  A stochastic approach to the benefit cost ratio analysis of safety treatments , 2020 .

[18]  Baher Abdulhai,et al.  Impact of dynamic and safety-conscious route guidance on accident risk , 2003 .

[19]  Fadel M. Megahed,et al.  A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive Modeling , 2020, Sensors.

[20]  Rune Elvik,et al.  Summary : Evaluation of variable message signs in Trondheim , 2011 .

[21]  Anis Koubaa,et al.  Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning , 2020, Applied Sciences.

[22]  Salvatore Cafiso,et al.  Investigating safety performance of the SAFESTAR system for route-based curve treatment , 2019, Reliab. Eng. Syst. Saf..

[23]  Dorothy D. Dunlop,et al.  Regression for Longitudinal Data: A Bridge from Least Squares Regression , 1994 .

[24]  Qingquan Li,et al.  Heterogeneous Data Fusion Method to Estimate Travel Time Distributions in Congested Road Networks , 2017, Sensors.

[25]  J E Upchurch EVALUATION OF VARIABLE MESSAGE SIGNS , 1991 .

[26]  Carmelo D'Agostino Investigating transferability and goodness of fit of two different approaches of segmentation and model form for estimating safety performance of motorways , 2014 .